1,682 Data Quality Analyst Jobs in Chennai

Business Analyst (Insurance)_Full-Time_Pan India_Hybrid_Shift Timings: 1 PM - 10 PM Hi,Greetings from Best Infosystems Ltd.!We've spotted your impressive profile and have an exciting opportunity tailored to your skills and passions. Job Title: Business Analyst (Insurance)Job Type: Full-TimeLocation: Bangalore/Pune/Navi Mumbai/Noida/Hyderabad/ChennaiWork Mode: HybridExperience: 6-13 YearsShift Timings: 1 PM - 10 PM Mandatory Skills: Prod BA - GW PC end to end, ticket RCA and closure of the ticket (Data, Training, Process) work with diff team to fix and create the requirement. Work with QA to ensure defect is fix. Job Description:Role summary:*Customer is seeking an Insurance Business Analyst to support the IT Non-Admitted Production Support unit for the GuideWire Policy Center administration system. *The role involves monitoring a ticketing system, analyzing incidents and requests, resolving or escalating them, and supporting workflows. *The ideal candidate should have 5+ years of business analysis experience in Commercial Property & Casualty insurance, with preferred experience in GuideWire Policy Center and technical qualifications in system integration and policy administration solutions. Technical qualifications:5+ years of business analysis experience in the Commercial Property & Casualty insurance industry.Experience with GuideWire Policy Center is preferred.Experience with integration to external systems.Strong experience with policy administration solutions.Experienced with iterative and agile methodologies; working knowledge of both SDLC & PMLC processes.Hands-on experience writing business requirements, functional requirements or user stories, business process diagrams, and data rules is required.Knowledge and experience in reviewing, reengineering or developing IT solutions for business process/improvements automation.Experience with visualization tools is beneficial.Candidate has experience with troubleshooting system issues. If you are interested, please share your updated resume along with the following details for the next steps: # Your full name ( First : Middle : Last ) ( All expanded ) :# Present Employer Name & Work Location :# Permanent / Contract Employee :# Current Location:# Preferred Location (Pune, Bengaluru and Noida):# Open to rotational shifts, including night shifts (Y/N):# Highest Qualification (University Name and Passing year):# Total experience:# Relevant experience as a Business Analyst in years:# Relevant experience in GW PC (Guidewire Policy Center) in years:# Relevant experience in Insurance domain in years:# Relevant experience in Commercial Property & Casualty (P&C) domain in years:# Current CTC and take home:# Expected CTC and take home:# Official Notice Period:# Are you serving notice period if yes then mention LWD:# Any offer you are holding (if yes please share the offer amount):# Date of Birth(DOB):# PAN Card Number (To upload your profile in the client's ATS): Regards,Narayan

Data Engineer Azure Data Factory, SQL, Python, Databricks, ETL  Data Engineer .Net + Azure Data Factory  We are seeking a skilled Data Engineer to join our team. The ideal candidate will be responsible for designing, implementing, and maintaining data systems and architectures that support our business needs. This role requires expertise in working with large datasets, cloud technologies, and advanced data platforms to ensure the availability, quality, and accessibility of data for business analytics and decision-making. Key Responsibilities: Design, build, and maintain data pipelines to collect, process, and store data efficiently from various sources. Work with cross-functional teams to understand business requirements and deliver data solutions that meet the needs of the organization. Optimize data storage and retrieval methods to enhance system performance and data quality. Integrate data from multiple sources (databases, data lakes, cloud storage, etc.) to build comprehensive data sets. Build and maintain data infrastructure, ensuring it is scalable, reliable, and secure. Implement and manage data governance policies, ensuring data accuracy, consistency, and compliance. Conduct data modeling and provide insights into the data through advanced analytics tools and reports. Perform data transformations and data wrangling tasks to prepare data for analysis. Troubleshoot data issues and collaborate with stakeholders to resolve technical challenges. Ensure the integrity of data pipelines and systems by conducting routine testing and validation. Required Skills and Qualifications: Bachelors degree in Computer Science, Engineering, Information Systems, or related field. Proven experience as a Data Engineer or in a similar role, with a minimum of [X] years of experience. Proficiency in data engineering tools and technologies such as SQL, Python, Java, Scala, and ETL frameworks. Experience working with cloud platforms (AWS, Azure, GCP) and data storage solutions (e.g., Redshift, Snowflake, BigQuery). Solid understanding of data modeling, database design, and cloud data architectures. Hands-on experience with data warehousing concepts and tools (e.g., Apache Hive, Apache Spark). Familiarity with data orchestration tools such as Apache Airflow, Azure Data Factory. Knowledge of real-time data streaming technologies (e.g., Kafka, Kinesis) is a plus. Strong problem-solving skills and ability to troubleshoot complex data issues. Familiarity with data security best practices and data privacy regulations (e.g., GDPR, HIPAA).

Job Description: Lead Engineer - Data Acquisition Position Overview We are looking for a skilled Lead Engineer - Data Acquisition to support testing, validation, and performance measurement of tractor components using advanced instrumentation tools. The ideal candidate will have hands-on experience with strain gauging, data loggers, nCode software, and calibration processes, ensuring accurate data acquisition and analysis for product improvement. Key Responsibilities Instrumentation & Testing Install and configure sensors, strain gauges, and instrumentation systems on tractor aggregates. Set up and operate data loggers to capture field and lab test data. Conduct instrumented tests to measure load, stress, vibration, and performance parameters. Data Acquisition & Analysis Validate, process, and analyze test data using nCode software and similar analysis tools. Interpret results to identify performance issues, fatigue behavior, and design improvement areas. Prepare technical reports summarizing findings, insights, and recommendations. Calibration & Quality Assurance Perform routine calibration of instrumentation equipment to ensure measurement accuracy. Maintain records of calibration, test configurations, and equipment health. Ensure adherence to testing standards, safety protocols, and validation procedures. Component & System Testing Work closely with tractor aggregates teams to plan and execute component-level and vehicle-level tests. Support durability, structural, performance, and validation testing for new and existing designs. Troubleshoot issues during testing and provide corrective action suggestions. Cross-Functional Collaboration Coordinate with design, validation, and R&D teams to define testing requirements. Support prototype builds, field validation programs, and customer application studies. Communicate results and insights effectively to technical and non-technical stakeholders. Required Skills & Qualifications Experience with tractor aggregates or off-highway vehicle systems. Hands-on expertise in instrumentation, strain gauging, and data logger setup. Strong working knowledge of nCode or similar fatigue analysis tools. Proficiency in calibration processes and test data validation. Strong analytical, problem-solving, and technical reporting skills. Bachelors in Engineering is required.

You will be responsible for ensuring the integrity, accuracy, and reliability of the organization's data assets. Your key responsibilities will include: - Designing and implementing data quality processes. - Collaborating with data owners and stakeholders to define and enforce data quality standards. - Developing and implementing data cleansing strategies. - Utilizing data profiling tools to analyze data patterns and identify quality issues. - Optimizing data architectures for improved data quality and performance. - Deploying and managing data quality solutions on cloud platforms like Azure, AWS, or GCP. - Documenting data quality issues, root causes, and remediation steps. - Generating regular reports on data quality metrics and communicating findings to stakeholders. - Working closely with cross-functional teams to understand data quality requirements and implement effective solutions. Qualifications required for this role: - Bachelor's or Master's degree in Computer Science, Data Science, or a related field. - Proven experience as a Data Quality Engineer or in a similar role. - Strong knowledge of data engineering principles and best practices. - Hands-on experience with cloud platforms, especially Azure. - Familiarity with AI concepts and tools is preferred. - Proficiency in programming languages such as Python, SQL, or Java. - Excellent problem-solving and analytical skills. - Strong communication and collaboration skills. Please note that this job is for a Data Quality Engineer position based in Chennai/Bengaluru, India.,

Role Overview: As a Data Quality Specialist at our company, you will play a crucial role in owning the data quality of martech platforms and products. Your primary responsibility will be the productization and delivery of test solutions to enhance productivity, test efficiency, and scalability to support our business growth. You will collaborate with cross-functional teams to understand business requirements and deliver scalable solutions. Additionally, you will proactively identify potential issues, communicate effectively with the team and management, and create a robust data quality framework to assess, monitor, and report the quality of data across various systems and platforms. Your creative thinking and innovative problem-solving approaches will be essential in delivering high-quality results from initial concepts. Key Responsibilities: - Design, develop, and maintain data quality automation test cases, along with writing test reports. - Implement best practices for data quality, integrity, and security to ensure reliable campaign targeting, analytics, and reporting. - Continuously improve testing efficiency by leveraging new techniques and tools. - Approach problems by considering all possibilities and options with creativity and out-of-the-box thinking. - Proactively anticipate problems and communicate them appropriately to the team and management in a timely manner. - Be flexible to support all functions of the product life cycle when required. - Work in a fast-paced environment and mentor junior members in the organization. Qualifications Required: - A bachelor's degree in computer science or an equivalent combination of technical education and work experience. - 8-12 years of experience in the Data Quality and Data Engineering fields. - Extensive experience with SQL and Python to develop and maintain data quality scripts, tools, and frameworks. - Nice to have working experience in Adobe Experience Platform and Adobe Journey Optimizer. - Expert-level knowledge of SQL for complex data querying and manipulation. - Experience working in GCP and Hadoop big data environments. - Strong understanding of data quality concepts, methodologies, and best practices. - Excellent problem-solving skills and the ability to work collaboratively in a fast-paced environment. Role Overview: As a Data Quality Specialist at our company, you will play a crucial role in owning the data quality of martech platforms and products. Your primary responsibility will be the productization and delivery of test solutions to enhance productivity, test efficiency, and scalability to support our business growth. You will collaborate with cross-functional teams to understand business requirements and deliver scalable solutions. Additionally, you will proactively identify potential issues, communicate effectively with the team and management, and create a robust data quality framework to assess, monitor, and report the quality of data across various systems and platforms. Your creative thinking and innovative problem-solving approaches will be essential in delivering high-quality results from initial concepts. Key Responsibilities: - Design, develop, and maintain data quality automation test cases, along with writing test reports. - Implement best practices for data quality, integrity, and security to ensure reliable campaign targeting, analytics, and reporting. - Continuously improve testing efficiency by leveraging new techniques and tools. - Approach problems by considering all possibilities and options with creativity and out-of-the-box thinking. - Proactively anticipate problems and communicate them appropriately to the team and management in a timely manner. - Be flexible to support all functions of the product life cycle when required. - Work in a fast-paced environment and mentor junior members in the organization. Qualifications Required: - A bachelor's degree in computer science or an equivalent combination of technical education and work experience. - 8-12 years of experience in the Data Quality and Data Engineering fields. - Extensive experience with SQL and Python to develop and maintain data quality scripts, tools, and frameworks. - Nice to have working experience in Adobe Experience Platform and Adobe Journey Optimizer. - Expert-level knowledge of SQL for complex data querying and manipulation. - Experience working in GCP and Hadoop big data environments. - Strong understanding of data quality concepts, methodologies, and best practices. - Excellent problem-solving skills and the ability to work collaboratively in a fast-paced environment.

Role Overview: As a Data Analyst, you will be responsible for collecting, cleaning, and analyzing large datasets from multiple sources, both structured and unstructured. Your role will involve developing and maintaining dashboards, reports, and visualizations to support data-driven decision-making. Using SQL, Python, or R, you will perform data extraction, manipulation, and statistical analysis. Additionally, you will design and implement data workflows and pipelines using cloud services such as AWS, Azure, or GCP. Collaboration with cross-functional teams to understand business requirements and ensure data quality, integrity, and governance will be a crucial part of your responsibilities. Key Responsibilities: - Collect, clean, and analyze large datasets from multiple sources. - Develop and maintain dashboards, reports, and visualizations. - Use SQL, Python, or R for data extraction, manipulation, and statistical analysis. - Design and implement data workflows and pipelines using cloud services. - Collaborate with cross-functional teams to translate business requirements into analytical solutions. - Ensure data quality, integrity, and governance across all systems. Qualifications Required: - Bachelor's degree in a relevant field. - 4-9 years of experience in data analysis. - Proficiency in SQL, Python, or R. - Experience with cloud services such as AWS, Azure, or GCP. Note: No additional details of the company were provided in the job description.,

Role Overview: As a Quality Assurance Test Analyst, you will be responsible for leading or participating in the testing of systems. You will work with management to enhance quality and process standards, ensuring on-time and efficient delivery of high-quality software products and data. Your role will involve developing and executing testing for diverse projects, identifying opportunities for automation, suggesting process improvements, and collaborating with project managers and technical leads to plan and execute functional and system tests. Key Responsibilities: - Develop and execute testing for diverse projects to deliver high-quality software products and services on time, on budget, and to specification. - Identify opportunities to apply automation or other tools to improve testing effectiveness and efficiency. - Suggest process improvements to enable efficient delivery and maintenance. - Collaborate with project managers, technical leads, and subject matter experts to plan and execute functional and system tests. - Construct, execute, and document test plans and test cases/scripts, including regression, integration, certification, and load testing. - Report issues and results, researching and identifying root causes. - Ensure testing addresses requirements agreed upon with stakeholders. - Identify areas for collaboration with other teams to improve overall quality and implement initiatives to enhance testing capability and efficiency. - Maintain industry awareness by evaluating emerging trends and technology. - Participate in project reviews, ensuring defined review criteria and quality control procedures for project deliverables. - Cooperate in enhancing test planning and execution methodologies, defect tracking, and reporting. - Participate in continuous improvement initiatives and implementation of best practices. - Maintain a framework for record retention to support IT audits. - Identify opportunities to enhance testing capabilities and product quality through tools and utilities. - Assist with process improvement and compliance for timely delivery of high-quality software products and services. - Collaborate across teams to improve quality functional testing through initiatives that enhance capability and efficiency. - Ensure thorough resolution of root cause analysis results. - Perform any other duties as assigned. Qualifications Required: - 3+ years of QA Test Analyst experience. - Bachelor's degree in Engineering, Computer Science, or equivalent experience. - Moderate knowledge of QA methodologies. - Knowledge of process improvement. - Solid understanding of the software development process. - Attention to detail. - Ability to conduct QA testing on moderate-scale projects. - Excellent verbal and written communication skills. - Basic project management skills. - Strong time management skills. - Basic understanding of working within budgets. - Understanding of industry trends. - Ability to construct and execute test plans/test cases. - Familiarity with automation and other tools to increase testing efficiency. - Proven research skills.,

Role Overview: As a member of the SIS DQM-NAM DQ team (C11) at Citi's Analytics Information Management (AIM) global community, you will be responsible for driving data-driven transformation by creating actionable intelligence for business leaders. The DQM team focuses on implementing data quality measurement programs in the retail consumer bank sector globally, supporting critical areas such as regulatory compliance, metrics design, data governance, DQ scorecards, issue management, and audit support. Key Responsibilities: - Execute business data quality measurements as per regulatory programs like CCAR, AML - Identify critical data elements, design data quality rules, and test and validate rules - Standardize data definitions and ensure consistency in measurement across systems/products/regions - Publish monthly/quarterly scorecards and prepare executive summary reports - Identify defects, investigate root causes of issues, and follow up with stakeholders for resolution - Identify control gaps, policy breaches, and provide data evidence for audit completion Qualifications Required: - Possess analytical skills for data analysis and visualization - Proficient in formulating analytical methodology, identifying trends, and generating actionable business insights - Proficiency in tools and platforms such as SAS, SQL, MS Excel, PowerPoint, and VBA - Good understanding of data definitions, data discovery, data quality framework, and data governance - Hands-on experience in KPIs design, issue resolution, remediation activities, and process improvement related to compliance and data quality initiatives - Ability to clearly articulate and solve complex business problems, excellent communication and interpersonal skills, good project management skills, and ability to work well across multiple functional areas - MBA/Master's degree in Economics/Statistics/Mathematics/Information Technology/Computer Applications/Engineering from a premier institute or BTech/B.E in Information Technology/Information Systems/Computer Applications - 5 to 8 years of hands-on experience in delivering data quality solutions, with at least 2 years in the banking industry (Note: The JD did not contain any additional details about the company.),

Role Overview: Join the Future of Financial Intelligence at DHL, a leading logistics provider with a clear purpose of Connecting People and Improving Lives. As part of the Financial Intelligence Solutions department for a German-speaking country, you will play a crucial role in transforming financial data to drive business decisions and pioneering the digitalization of financial processes. Your expertise in data-driven strategy, digital innovation, and operational excellence will be key in shaping the future of financial steering within the dynamic logistics environment. Key Responsibilities: - **Data Pipeline Engineering** - Architect, develop, and maintain scalable and resilient data pipelines using Kubeflow and Python. - Enable efficient ingestion, transformation, and enrichment of financial and operational data. - Ensure seamless integration of TM1/Cognos and other multidimensional data sources into Snowflake for optimized reporting and analytics. - **Data Modeling & AI/ML Enablement** - Design Snowflake-based data models tailored for AI/ML readiness to support predictive analytics and automated alerting systems. - Collaborate with data scientists and business analysts to prepare structured datasets for machine learning and advanced forecasting models. - **Analytics & Visualization** - Perform deep-dive data analyses to uncover trends and opportunities for finance and business teams. - Build and maintain interactive dashboards and reports using Power BI for real-time insights and usability. - **Collaboration & Documentation** - Maintain comprehensive documentation and version control of data workflows, models, and pipelines using GitLab. - Contribute to data governance initiatives promoting best practices in data quality, lineage, and compliance. Qualification Required: - **Education & Experience** - Bachelors or Masters degree in Computer Science, Data Engineering, Data Science, or a related technical discipline. - Minimum 3 years of hands-on experience in data engineering or analytics, preferably in financial or controlling environments. - **Technical Skills** - Proficiency in Kubeflow, Python, Snowflake, and SQL for data pipeline development and modeling. - Experience integrating TM1/Cognos into relational databases for analytical consumption. - Understanding of AI/ML readiness, feature engineering, and model preparation. - Advanced skills in Power BI for data visualization and GitLab for version control and workflow documentation. - **Soft Skills** - Strong analytical thinking and problem-solving capabilities. - Excellent communication skills in English, both written and verbal. - Ability to work independently and collaboratively in cross-functional teams with a proactive mindset. In addition to the above, the company offers working conditions with standard Indian business hours, onsite work options, occasional global coverage outside standard hours, and benefits including 42 days of annual leave and medical insurance coverage for self, spouse, and children with an option for additional parental insurance.,

As an experienced Data Analyst in the field of data analytics, network analysis, or business intelligence with a focus on supply chain, you will be responsible for: - Utilizing your proficiency in data warehouse design, SQL, ETL, and enterprise BI tools such as Power BI, Tableau, and Qlik - Demonstrating strong analytical skills in network modeling, route optimization, warehouse footprint analysis, and cost-benefit evaluation - Handling data integration from WMS, OMS, TMS, and ERP systems - Applying knowledge of data governance, master data management, and data quality frameworks - Showcasing excellent problem-solving abilities, effective communication, and stakeholder management skills - Delivering analytics-driven insights to facilitate measurable operational improvements Qualifications required for this role include: - A minimum of 4 years of relevant experience in data analytics, network analysis, or business intelligence - Proficiency in data warehouse design, SQL, ETL, and the use of enterprise BI tools like Power BI, Tableau, and Qlik - Strong analytical skills in network modeling, route optimization, warehouse footprint analysis, and cost-benefit evaluation - Experience in data integration from WMS, OMS, TMS, and ERP systems - Knowledge of data governance, master data management, and data quality frameworks - Excellent problem-solving, communication, and stakeholder management skills - Proven track record in delivering analytics-driven insights that lead to measurable operational improvements Kindly submit your updated CV to nikita.sh@peoplefy.com if you find this role suitable and are interested in applying. As an experienced Data Analyst in the field of data analytics, network analysis, or business intelligence with a focus on supply chain, you will be responsible for: - Utilizing your proficiency in data warehouse design, SQL, ETL, and enterprise BI tools such as Power BI, Tableau, and Qlik - Demonstrating strong analytical skills in network modeling, route optimization, warehouse footprint analysis, and cost-benefit evaluation - Handling data integration from WMS, OMS, TMS, and ERP systems - Applying knowledge of data governance, master data management, and data quality frameworks - Showcasing excellent problem-solving abilities, effective communication, and stakeholder management skills - Delivering analytics-driven insights to facilitate measurable operational improvements Qualifications required for this role include: - A minimum of 4 years of relevant experience in data analytics, network analysis, or business intelligence - Proficiency in data warehouse design, SQL, ETL, and the use of enterprise BI tools like Power BI, Tableau, and Qlik - Strong analytical skills in network modeling, route optimization, warehouse footprint analysis, and cost-benefit evaluation - Experience in data integration from WMS, OMS, TMS, and ERP systems - Knowledge of data governance, master data management, and data quality frameworks - Excellent problem-solving, communication, and stakeholder management skills - Proven track record in delivering analytics-driven insights that lead to measurable operational improvements Kindly submit your updated CV to nikita.sh@peoplefy.com if you find this role suitable and are interested in applying.

As a member of the Data Management Center of Excellence at DTCC, you will play a crucial role in supporting the leadership team to establish, mature, and scale the CoE, as well as drive the implementation of industry-leading data management practices. Your ability to prioritize, own and drive projects, quickly learn new concepts and frameworks, work in a fast-paced environment, and adapt to shifting priorities will be key to your success in this role. You will be responsible for providing critical support for the management of information domains across the enterprise and supporting enterprise-wide data management initiatives. **Key Responsibilities:** - Participate in preliminary data analysis for new projects - Collaborate with business and operational partners to analyze data and produce business data element names - Engage with domain experts to understand and document business requirements for data - Assist data modelers in producing conceptual and logical data models - Input and handle required metadata for critical data elements in the enterprise metadata repository - Support data quality through data profiling, defining data quality rules, and supporting data cleansing efforts - Assist the Data Steward with project planning, identification of resource requirements, and effort estimation - Independently manage assigned projects across the life cycle - Develop and deliver high-quality presentations to partners and leadership - Participate as a core member of agile squads, including attending daily stand-up and grooming sessions, documenting user stories, and tracking project metrics In addition to the responsibilities mentioned above, you will play a key role in bridging the gap between IT and the business, accessing, profiling, and analyzing data, understanding and documenting business requirements, and communicating effectively with technical and business stakeholders. **Qualifications:** - Minimum 4 years of related experience - Bachelor's degree preferred or equivalent experience **Talents Needed for Success:** - Solid grasp of data management processes and standard methodologies - Excellent written and verbal communication skills - Excellent analytical and quantitative skills - Proficiency with Microsoft Office tools required; experience with data management tools (e.g. Collibra) and business process tools (e.g. Mega HOPEX) preferred - Basic technical skills required, including the ability to profile data using SQL queries; basic understanding of Logical Data Modeling and Database design is a plus,

A quality control (QC) analyst's job is to ensure products meet established quality and safety standards through inspections, tests, and evaluations. Key responsibilities include collecting and analyzing data, identifying defects, implementing corrective actions, and documenting findings. They collaborate with production teams to resolve issues and maintain product consistency throughout the manufacturing process   Testing and inspection:  Perform tests, inspections, and evaluations on raw materials, products in progress, and finished goods to ensure they meet quality specifications.    Data analysis:  Analyze test results and other data to identify quality trends, defects, and root causes.    Problem-solving:  Collaborate with other departments, such as production and engineering, to troubleshoot and resolve quality issues.    Documentation and reporting:  Keep accurate records of all tests and inspections, prepare detailed reports, and maintain all relevant documentation.    Process improvement:  Recommend and help implement corrective actions and process improvements to prevent defects and enhance overall quality.    Compliance:  Ensure all products and processes comply with relevant industry standards and regulations.      Strong analytical skills     Attention to detail     Ability to interpret and analyze data     Good communication and organizational skills     Understanding of quality control procedures  

As a member of the DQM team at AIM, you will be responsible for managing the implementation of best in class data quality measurement programs for the US region's retail consumer bank. Your critical areas of support will include: - Regulatory Support: Executing business data quality measurements in alignment with regulatory programs like CCAR, AML, etc. - DQ Rules Design: Identifying critical data elements in various systems, designing data quality rules, and testing and validating these rules. - Data Governance: Standardizing data definitions and ensuring consistency in measurement across systems, products, and regions. - DQ Scorecards: Publishing monthly/quarterly scorecards at the product level and preparing executive summary reports for senior management. - Issue Management: Identifying defects, investigating root causes for issues, and following up with stakeholders for resolution within SLA. - Audit Support: Identifying control gaps, policy breaches, and providing data evidence for audit completion. To excel in this role, you should possess the following expertise: - Analytical Skills: Ability to conduct data analysis and visualization, formulate analytical methodology, identify trends and patterns, and generate actionable business insights. - Tools and Platforms: Good exposure to SAS or SQL, proficiency in MS Excel. - Domain Skills: Understanding of data definitions, data discovery, data quality framework, data governance, data warehouse knowledge, data catalog, data lineage, and data dictionaries. Knowledge of finance regulations and retail business is preferred. - Soft Skills: Ability to identify, articulate, and solve complex business problems, excellent communication and interpersonal skills, good process management skills, and ability to work effectively in teams. Qualifications required for this role include: - Educational background in MBA, Mathematics, Information Technology, Computer Applications, or Engineering from a premier institute. BTech/B.E in Information Technology, Information Systems, or Computer Applications. - Preferred post-graduation in Computer Science, Mathematics, Operations Research, Econometrics, Management Science, or related fields. - 1 to 2 years of hands-on experience in delivering data quality solutions. Join us at AIM and be part of a dynamic team that is driving data-driven transformation across Citi to create actionable intelligence for our business leaders.,

Role Overview: As a Data Quality Engineer at the company, you will play a crucial role in ensuring the data quality of martech platforms and products. Your primary responsibility will involve owning the data quality, productization, and delivery of test solutions to enhance productivity, test efficiency, and scalability to support the business growth. You will collaborate with cross-functional teams, employ creative thinking for problem-solving, and proactively identify and communicate potential issues to the team and management. Thriving in a fast-paced environment, you will create a robust data quality framework to monitor and report data quality across various systems and platforms while delivering high-quality results. Key Responsibilities: - Design, develop, and maintain data quality automation test cases, along with writing test reports. - Implement best practices for data quality, integrity, and security to ensure reliable campaign targeting, analytics, and reporting. - Continuously improve testing efficiency by leveraging new techniques and tools. - Approach problems with creativity and out-of-the-box thinking, anticipating and communicating potential issues promptly. - Be flexible and support all functions of the product life cycle as needed, while mentoring junior members in the organization. Qualifications Required: - A bachelor's degree in computer science or an equivalent combination of technical education and work experience. - 8-12 years of experience in Data Quality and Data Engineering fields. - Extensive experience in SQL and Python for developing and maintaining data quality scripts, tools, and frameworks. - Nice to have experience in Adobe Experience Platform and Adobe Journey Optimizer. - Expert-level knowledge of SQL for complex data querying and manipulation. - Experience working in GCP and Hadoop big data environments. - Strong understanding of data quality concepts, methodologies, and best practices. - Excellent problem-solving skills and ability to work collaboratively in a fast-paced environment. Please visit https://about.pypl.com/who-we-are/default.aspx to learn more about our culture and community. Role Overview: As a Data Quality Engineer at the company, you will play a crucial role in ensuring the data quality of martech platforms and products. Your primary responsibility will involve owning the data quality, productization, and delivery of test solutions to enhance productivity, test efficiency, and scalability to support the business growth. You will collaborate with cross-functional teams, employ creative thinking for problem-solving, and proactively identify and communicate potential issues to the team and management. Thriving in a fast-paced environment, you will create a robust data quality framework to monitor and report data quality across various systems and platforms while delivering high-quality results. Key Responsibilities: - Design, develop, and maintain data quality automation test cases, along with writing test reports. - Implement best practices for data quality, integrity, and security to ensure reliable campaign targeting, analytics, and reporting. - Continuously improve testing efficiency by leveraging new techniques and tools. - Approach problems with creativity and out-of-the-box thinking, anticipating and communicating potential issues promptly. - Be flexible and support all functions of the product life cycle as needed, while mentoring junior members in the organization. Qualifications Required: - A bachelor's degree in computer science or an equivalent combination of technical education and work experience. - 8-12 years of experience in Data Quality and Data Engineering fields. - Extensive experience in SQL and Python for developing and maintaining data quality scripts, tools, and frameworks. - Nice to have experience in Adobe Experience Platform and Adobe Journey Optimizer. - Expert-level knowledge of SQL for complex data querying and manipulation. - Experience working in GCP and Hadoop big data environments. - Strong understanding of data quality concepts, methodologies, and best practices. - Excellent problem-solving skills and ability to work collaboratively in a fast-paced environment. Please visit https://about.pypl.com/who-we-are/default.aspx to learn more about our culture and community.

As a Senior Analyst - Data Engineering, you will be responsible for designing and maintaining reliable, scalable, and secure LLM orchestration services using Python. Your primary focus will be on developing RAG pipelines, establishing CI/CD practices, ensuring observability, and adhering to code quality standards. **Key Responsibilities:** - Design and implement complete RAG pipelines including embeddings generation, vector search, prompt injection, LLM invocation, and post-processing. - Build modular, maintainable code with clear interfaces for context assembly, retrieval logic, prompt construction, LLM invocation, and data persistence. - Optimize pipeline performance through token caching strategies, async I/O patterns, intelligent caching, and resource right-sizing. - Implement best practices for LLM orchestration ensuring efficient token usage and response quality. - Design and implement automated CI/CD pipelines with comprehensive test coverage, security scanning, and gated deployments. - Manage deployment strategies across dev, staging, and production environments. - Establish branching models, pull request workflows, code review standards, and merge strategies with quality gates. - Implement comprehensive logging, tracing, and metrics collection for RAG pipelines. - Track key performance indicators including RAG cache hit rates, retrieval latency, LLM response times, and error rates. - Set up alerting mechanisms and monitoring dashboards using Azure Application Insights or similar tools. - Maintain high code quality standards with well-organized project structures, proper error handling, retry logic, and comprehensive logging. - Write unit tests, integration tests, and end-to-end tests with appropriate mocking strategies. - Implement database best practices including stored procedures, proper table design (primary keys, audit fields, indexing). - Create and maintain thorough technical documentation. - Enforce security gates throughout the development lifecycle. **Qualifications Required:** - Real-world experience with Azure Functions or similar serverless frameworks. - Experience with Azure SQL or similar relational databases. - Strong understanding of testing methodologies: unit testing, integration testing, and end-to-end testing with mocking frameworks. - Experience with CI/CD pipelines using Azure DevOps or GitHub Actions. - Knowledge of container builds, scanning, and deployment workflows. - Familiarity with Git branching strategies, PR workflows, and merge strategies. - Hands-on experience with LLM orchestration and RAG architectures, including embeddings, vector search, and prompt engineering (Good to have). - Experience with LLM orchestration frameworks such as llama_index, LangChain, or similar (Good to have). - Proficiency with Azure AI Search, Azure OpenAI. - Strong grasp of modular design, clean code principles, and API design. - Experience with error handling, retry mechanisms, and resilience patterns. - Understanding of asynchronous programming and performance optimization.,

Role Overview: As a Data Analyst, you will be responsible for developing and implementing data analyses, data collection systems, and other strategies to optimize statistical efficiency and quality. Your role will require strong analytical and problem-solving skills, as well as the ability to communicate complex ideas clearly and concisely. Having a keen interest in the business problem and possessing a strong business acumen will be essential. Additionally, being updated with the latest industry information and having exposure to industry and business functions is preferred. Your passion and deep experience in descriptive analytics & reporting will play a key role in efficiently analyzing very large customer data sets from multiple sources. Key Responsibilities: - Develop and implement data analyses and data collection systems - Optimize statistical efficiency and quality - Communicate complex ideas clearly and concisely - Display a keen interest in the business problem and demonstrate strong business acumen - Stay updated with the latest industry information - Have exposure to industry and business functions - Compile and analyze results from modeling output - Translate results into actionable insights Qualifications Required: - Strong analytical and problem-solving skills - Ability to communicate complex ideas clearly and concisely - Passion and deep experience in descriptive analytics & reporting - Expertise in problem solving - Efficiently analyze very large customer data sets from multiple sources Additional Company Details: If you are a highly motivated and results-oriented individual with a passion for data, we encourage you to apply. Role Overview: As a Data Analyst, you will be responsible for developing and implementing data analyses, data collection systems, and other strategies to optimize statistical efficiency and quality. Your role will require strong analytical and problem-solving skills, as well as the ability to communicate complex ideas clearly and concisely. Having a keen interest in the business problem and possessing a strong business acumen will be essential. Additionally, being updated with the latest industry information and having exposure to industry and business functions is preferred. Your passion and deep experience in descriptive analytics & reporting will play a key role in efficiently analyzing very large customer data sets from multiple sources. Key Responsibilities: - Develop and implement data analyses and data collection systems - Optimize statistical efficiency and quality - Communicate complex ideas clearly and concisely - Display a keen interest in the business problem and demonstrate strong business acumen - Stay updated with the latest industry information - Have exposure to industry and business functions - Compile and analyze results from modeling output - Translate results into actionable insights Qualifications Required: - Strong analytical and problem-solving skills - Ability to communicate complex ideas clearly and concisely - Passion and deep experience in descriptive analytics & reporting - Expertise in problem solving - Efficiently analyze very large customer data sets from multiple sources Additional Company Details: If you are a highly motivated and results-oriented individual with a passion for data, we encourage you to apply.

Job Description: You will be responsible for analyzing data using Databricks and Spark/PySpark in the Chennai location. Key Responsibilities: - Analyze large datasets to provide insights and make data-driven decisions - Develop and maintain data pipelines using Databricks and Spark/PySpark - Collaborate with cross-functional teams to ensure data quality and accuracy - Generate reports and visualizations to communicate findings effectively Qualifications Required: - Bachelor's degree in Computer Science, Statistics, or related field - Proficiency in using Databricks and Spark/PySpark for data analysis - Strong analytical and problem-solving skills - Excellent communication and teamwork abilities Please note that this job requires an immediate joiner with no notice period and is based in Chennai. Job Description: You will be responsible for analyzing data using Databricks and Spark/PySpark in the Chennai location. Key Responsibilities: - Analyze large datasets to provide insights and make data-driven decisions - Develop and maintain data pipelines using Databricks and Spark/PySpark - Collaborate with cross-functional teams to ensure data quality and accuracy - Generate reports and visualizations to communicate findings effectively Qualifications Required: - Bachelor's degree in Computer Science, Statistics, or related field - Proficiency in using Databricks and Spark/PySpark for data analysis - Strong analytical and problem-solving skills - Excellent communication and teamwork abilities Please note that this job requires an immediate joiner with no notice period and is based in Chennai.

As an Assistant Manager - Data Analyst, your role will involve leading and managing the end-to-end analytics lifecycle. This includes tasks such as data collection, processing, analysis, and visualization. You will collaborate with business stakeholders to understand requirements, define key performance indicators (KPIs), and provide actionable insights. Furthermore, you will be responsible for developing and maintaining dashboards, scorecards, and reports using BI tools like Power BI, Tableau, or Qlik. Ensuring data quality, integrity, and governance processes are accurate and consistent will also be a part of your responsibilities. Additionally, you will manage, mentor, and develop a team of data analysis and reporting specialists. Your analytical skills will be put to use as you translate business questions into analytical models and hypotheses to aid decision-making. Key Responsibilities: - Lead and manage the end-to-end analytics lifecycle - Collaborate with business stakeholders to define KPIs and deliver insights - Develop and maintain dashboards, scorecards, and reports using BI tools - Ensure data quality, integrity, and governance processes - Manage, mentor, and develop a team of data analysis specialists - Translate business questions into analytical models and hypotheses Qualifications Required: - Strong proficiency in SQL, Excel, and at least one BI tool (Power BI, Tableau, Qlik, etc.) - Hands-on experience with data modeling, ETL, and data warehousing concepts - Analytical thinking with problem-solving and data interpretation skills - Experience with statistical analysis and/or machine learning concepts (preferred) - Strong stakeholder management, communication, and presentation skills Please note that the job is in the ITES/BPO/KPO industry, specifically in the ITES/BPO/Customer Service functional area. The required education is a Bachelor's Degree, and the employment type is Full Time, Permanent. In addition, the key skills for this role include Business Intelligence, Data Analysis, Power BI, and SQL. Recruiter Name: Maheshwari Balasubramanian,

Role Overview: As a Data Engineer at MAKO, you will be responsible for building, managing, and optimizing data pipelines and datasets to support business and analytics teams. Your expertise in MS Excel, Python, and data cleaning will be crucial in delivering reliable and high-quality data. Key Responsibilities: - Design and maintain data pipelines and workflows. - Perform data cleaning, transformation, and validation of large datasets. - Create advanced reports using MS Excel (Pivot Tables, VLOOKUP, XLOOKUP, Power Query). - Write and maintain Python scripts for data automation and processing. - Optimize data storage and retrieval processes. - Ensure data accuracy, consistency, and integrity across multiple sources. - Collaborate with business analysts and stakeholders to understand data requirements. - Support ETL and data warehousing processes. Qualification Required: - Strong experience in MS Excel (advanced formulas, Pivot Tables, Power Query). - Strong knowledge of Python (Pandas, NumPy, data manipulation). - Hands-on experience with data handling, transformation, and cleaning. - Good knowledge of SQL (writing complex queries, joins, indexing). - Experience working with large datasets and structured/unstructured data. - Familiarity with ETL tools/processes. Additional Company Details (if present): MAKO IT Lab, founded in 2013, is a global software development company with a strong presence in the USA, UK, India, and Nepal. The company focuses on creating an empowering environment where individuals can take ownership, contribute innovative ideas, and grow through continuous learning and knowledge sharing. MAKO fosters long-term careers for its employees and encourages curiosity, initiative, and meaningful contributions to the company's journey.,

You will be joining Global Decision Management, a global community focused on driving data-driven transformation across Citi to provide actionable intelligence for business leaders. As a part of the Digital Control Monitoring team, you will be supporting CBORC (Consumer Business Operation Risk & Control) in Asia by identifying control gaps, policy breaches, and providing data evidence for audits. The critical areas you will support include Internal Audit, Sales Practice, AML, and Branch Oversight Function. Key Responsibilities: - Identify cases of control gaps, policy breaches, and provide data evidence for audits - Support Internal Audit in ensuring banking products & services compliance with controls & policies - Identify potential Unfair & Deceptive practices by RMs in performance management and incentive programs - Identify AML incidents or suspicious transactions - Ensure branch operations align with policies and guidelines Qualifications Required: - Strong analytical skills with expertise in data analysis and data quality - Proficiency in formulating analytical methodology and generating actionable business insights - Experience in identifying inconsistencies, anomalies, and patterns in data - Familiarity with automated techniques to remove false positives - Proficiency in SAS, SQL, Teradata, MS Excel, PowerPoint, and VBA - Knowledge of LSF scheduling or Windows scheduling - Understanding of banking domain and audit framework - Familiarity with data quality framework and risk & control metrics - Soft skills such as problem-solving, communication, project management, mentoring, and ability to work well in a dynamic environment Additional Company Details: - Global Decision Management is a fast-growing organization collaborating with Citi businesses worldwide - Focus on data-driven transformation and actionable intelligence for business leaders Education and Experience: - MBA/Master's degree in Economics, Statistics, Mathematics, IT, Computer Applications, or Engineering - Preferred post-graduate degree in Computer Science, Mathematics, Operations Research, Econometrics, or Management Science - 5 to 8 years of hands-on experience in delivering data quality solutions, with at least 1 year in the Banking Industry If you require a reasonable accommodation due to a disability to apply for a career opportunity at Citi, you can review Accessibility at Citi. You can also view Citi's EEO Policy Statement and the Know Your Rights poster.,