4,777 Data Specialist Jobs in Chennai

Job Vacancy For:-10th pass, 12th pass, Graduate/Post Graduate and Fresher can also apply Roles: Data Entry, Self Employed, Typist, Freelancer, Fresher, Data Entry Operator Skills Basic Computer Knowledge and Basic Typing skills Computer Laptop Or Android Phone Is Compulsory Working hours are flexibleWork from any location Office, Home or while travelling. You can continue with your regular job and work parallelly.Basic requirement computer and internet Qualification:12th and above Freshers are Welcome No Target No Work Pressure Full Time Jobs  

Were hiring Data Engineer Professionals across multiple roles! Location: Hyderabad / Chennai Experience: 5 to 10 Years Mode: Walk-in Drive Immediate Joiners Preferred Open Roles: 1 Data Engineer AWS, PySpark 2 Data Engineer Snowflake, AWS (Good to have: DBT / Python) 3 ETL Tester with experience in any ETL Development Tool If you're passionate about building scalable data solutions and want to be part of a dynamic team this is your chance!

Location - LTIM Pan IndiaExperience - 5+to 12+ yrsGeneric JD-Mandatory Skills - Data Science, Gen AI, Python, RAG and Azure/AWS/GCP, AI/ML, NLP Secondary - (Any) Machine Learning, Deep Learning, ChatGPT, Langchain, Prompt, vector stores, RAG, llama, Computer vision, Deep learning, Machine learning, OCR, Transformer, regression, forecasting, classification, hyper parameter tunning, MLOps, Inference, Model training, Model DeploymentJD_ More than 6 years of experience in Data Engineering, Data Science and AI / ML domainExcellent understanding of machine learning techniques and algorithms, such as GPTs, CNN, RNN, k-NN, Naive Bayes, SVM, Decision Forests, etc.Experience using business intelligence tools (e.g. Tableau, PowerBI) and data frameworks (e.g. Hadoop)Experience in Cloud native skills.Knowledge of SQL and Python; familiarity with Scala, Java or C++ is an assetAnalytical mind and business acumen and Strong math skills (e.g. statistics, algebra)Experience with common data science toolkits, such as TensorFlow, KERAs, PyTorch, PANDAs, Microsoft CNTK, NumPy etc. Deep expertise in at least one of these is highly desirable.Experience with NLP, NLG and Large Language Models like BERT, LLaMa, LaMDA, GPT, BLOOM, PaLM, DALL-E, etc.Great communication and presentation skills. Should have experience in working in a fast-paced team culture.Experience with AIML and Big Data technologies like AWS SageMaker, Azure Cognitive Services, Google Colab, Jupyter Notebook, Hadoop, PySpark, HIVE, AWS EMR etc.Experience with NoSQL databases, such as MongoDB, Cassandra, HBase, Vector databasesGood understanding of applied statistics skills, such as distributions, statistical testing, regression, etc.Should be a data-oriented person with analytical mind and business acumen.

We are looking Azure DB - ResilienceGood experience on the design and implementation of resilient, highly available (HA), and fault-tolerant (DR) architectures for Azure database services with technically guided, managed and governed the team. Willing to provide 24x7 support, flexible to work in the shifts Primary skills:KEY RESPONSIBILITIESAzure SQL (DB & MI), MySQL, PostgreSQL, and Cosmos DB(API & vCore): Design and implement resilient architectures for Azure database services including Azure SQL( DB & MI), MySQL, PostgreSQL, and Cosmos DB. Develop and maintain High Availability (HA), Disaster Recovery (DR) solutions including zone redundancy, geo-redundancy, failover groups, read replicas, and backup/restore strategies in accordance with business SLAs and RTO/RPO requirements. Design solutions that include auto-failover, replication, zone and region redundancy, and graceful degradation. Evaluate and implement active-active or active-passive deployment models where appropriate. Create documentation for architecture patterns, failover processes, recovery steps, and operational runbooks. Monitor and optimize performance, and availability of Azure PaaS database workloads. Serve as the subject matter expert (SME) for database resilience in enterprise environments. Conforming to client compliances and expectations This role may entail shift & after-hours support on an on-call basis.Mandatory Technical skills required Good working experience all HA and DR solutions for Azure SQL (DB & MI), MySQL, PostgreSQL, and Cosmos DB (API & vCore). Migrating to Azure Databases Day to-day HA/DR administration activitiesGood to have: Any of the following certificate:o Microsoft Certified: Azure Database Administrator Associate Soft Skills: Good customer connects. Prepare solution presentations. Positive attitude and excellent communication skills to manage customer calls. Excellent problem-solving skills. Good communication. Educational Qualification: BCA/MCA/BE/B.Tech or equivalent.

Job Title: GCP Data Engineer Employment Type: Permanent Industry of the Employer: IT / Software Services Department / Functional Area: Data Engineering, Cloud Engineering Job Description GREETINGS FROM HUCON Solutions Hiring for Leading MNC GCP Data Engineer Role: GCP Data Engineer Skills: GCP, Python, SQL, BigQuery, ETL Data Pipeline Experience: 59 Years Locations: Chennai, Kochi, Bangalore, Hyderabad, Pune Eligibility Criteria Strong hands-on experience in Python, Pandas, NumPy Expertise in SQL and solid understanding of Data Warehousing concepts In-depth knowledge of GCP Services including: BigQuery, Cloud Run, Pub/Sub, Cloud Storage, Spanner, Cloud Composer, Dataflow, Cloud Functions Experience with Docker, Kubernetes, GitHub Strong communication and analytical skills Working experience with PySpark, Data Modeling, Dataproc, Terraform Google Cloud Professional Data Engineer certification is highly preferred Role Responsibilities Design, develop, and manage robust and scalable ETL / ELT pipelines on GCP using Dataflow, Cloud Run, BigQuery, Pub/Sub, and Cloud Composer Implement data ingestion workflows for structured and unstructured data sources Build and maintain data warehouses and data lakes using BigQuery, Cloud Storage, and other GCP tools Work with data modeling, architecture, and ETL/ELT frameworks Ensure best practices in performance, optimization, and cloud data management Keywords / Skills GCP, Python, SQL, BigQuery, ETL, Data Pipeline, Data Engineering, Cloud Run, Pub/Sub, Cloud Storage, Dataproc, Terraform, Kubernetes, Docker, Dataflow Total Experience: 5 to 9 Years Salary Type: Yearly Annual Salary Offered: As per company standards Job Type: Full Time Shift Type: Day Shift / Rotational (based on project requirement) Location of the Job: Chennai | Kochi | Bangalore | Hyderabad | Pune

We are currently hiring for the position of SFMC CDP Data Cloud Developer at Capgemini. Your profile aligns with our requirements, and we would like to share the role details for your review. Role: SFMC CDP Data Cloud DeveloperGrade: C1 Experience Required: 6 to 10 years Location Options: Hyderabad, Bangalore, Chennai, Mumbai, Kolkata, Pune, Noida, Gurugram Role Responsibilities:Drive discussions on SFMC user stories and requirements with stakeholdersArchitect solutions across Marketing and CRM landscapeLead end to end SFMC deliverables for large marketing initiativesCreate use cases, user stories, and proof of conceptsMap Marketing Cloud data models to CRM solutionsDevelop training plans and conduct end user sessionsWork extensively on Email Studio including A B testing, segmentation, personalization, and triggered sendsAct as a key Capgemini representative to bridge business and technical teamsCreate HLD documents and support proposal responses and RFPsProvide best practices for SFMC and CDP implementation and deploymentSupport Salesforce Data Cloud Lead on technical estimations and project planningCoordinate with Salesforce support on upgrades, patches, and configuration best practicesPresent solutions around digital marketing, marketing automation, and data management Technical Skills Required:Minimum 5 years of hands on Marketing Cloud development experienceStrong experience in Salesforce Data Cloud and SFMC integrationsKnowledge of Journey Builder, Automation Studio, Email Studio, Social StudioExperience with Data Cloud modules such as event tracking, API and SDK integration, Salesforce connectors, Apex, JavaScript, and JSONStrong understanding of CDP components including Contact Builder, Audience Builder, Content Builder, and AutomationsCRM integration knowledge with SFDC or other CRM toolsGood understanding of security, roles, access controls, and campaign data governanceExpertise in data architecture, identity resolution, duplicate management, consent management, segmentation, and subscriber managementKnowledge of AMPscript, reporting tools like Tableau or Datorama, and Production deployment processesGood to have experience with mobile push notifications, Interaction Studio, Advertising Studio, and DMPMandatory: Salesforce Data Cloud CertificationGood to Have: SFMC Certification If you are interested in exploring this opportunity, kindly share the following details: Total ExperienceRelevant Experience in SFMC and Data CloudCurrent LocationPreferred LocationCurrent CTCExpected CTCNotice PeriodSalesforce Data Cloud Certification statusUpdated ResumeLooking forward to your response. Thanks & Regards,TA Team Capgemini

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-  Data EngineerTotal yrs of exp should be 6+yrs   Must have 3+ years in Pyspark. Strong programming experience, Python, Pyspark, Scala is preferred. Experience in designing and implementing CI/CD, Build Management, and Development strategy. Experience with SQL and SQL Analytical functions, experience participating in key business, architectural and technical decisions Scope to get trained on AWS cloud technology Proficient in leveraging Spark for distributed data processing and transformation. Skilled in optimizing data pipelines for efficiency and scalability. Experience with real-time data processing and integration. Familiarity with Apache Hadoop ecosystem components. Strong problem-solving abilities in handling large-scale datasets. Ability to collaborate with cross-functional teams and communicate effectively with stakeholders. Primary Skills : Pyspark SQL Secondary Skill: Experience on AWS/Azure/GCP would be added advantage

We have an exciting opportunity for the role of Data Engineer. Please find the details below: Job Description: Total experience required: 6+ yearsMinimum 3 years of experience in PySparkLocation: Pune Chennai and Bangalore. Strong programming skills in Python and PySpark (Scala is preferred)Experience in designing and implementing CI/CD, build management, and development strategiesHands-on experience with SQL and SQL analytical functionsExposure to key business, architectural, and technical decision-making processesOpportunity to get trained on AWS cloud technologyProficient in leveraging Spark for distributed data processing and transformationSkilled in optimizing data pipelines for efficiency and scalabilityExperience with real-time data processing and integrationFamiliarity with Apache Hadoop ecosystem componentsStrong problem-solving abilities for handling large-scale datasetsExcellent collaboration and communication skills for working with cross-functional teamsPrimary Skills: PySpark and SQL Secondary Skills: Experience with AWS, Azure, or GCP would be an added advantageIf interested, please apply. Best regards,HR Team, Capgemini

Senior Snowflake Data Engineer Location: PAN India Experience: 8+ Years Skills: Snowflake, dbt, FiveTran, Snowpipe, AWS (MWAA, S3, Lambda), GitHub CI/CD Job Description We are looking for an experienced Senior Snowflake Data Engineer with strong expertise in modern data warehousing, cloud technologies, and ELT pipeline development. The ideal candidate should have deep hands-on experience in Snowflake, dbt, cloud environments, and CI/CD practices, with the ability to design scalable and efficient data solutions. Key Responsibilities Analyze, integrate, model, and interpret large and complex datasets from multiple sources. Design and implement ELT data pipelines using dbt with Snowflake as the primary cloud data warehouse. Build efficient and scalable data transformation pipelines using dbt at an advanced level. Work with ETL/ELT and data governance tools such as FiveTran and Alation. Utilize advanced Snowflake features such as RBAC, Dynamic Tables, and various optimization techniques. Ensure strong data modelling and warehousing practices across diverse database technologies. Manage orchestrations using Apache Airflow or AWS MWAA, along with CI/CD pipelines. Oversee continuous deployment, monitoring, and operations of data solutions using GitHub Actions, Terraform, and other DevOps tools. Collaborate with technical and non-technical stakeholders through effective communication. Contribute to building future-state Data Warehouse capabilities using cutting-edge technologies. Adapt and work efficiently within Agile methodology. Preferred Qualifications 2+ years of hands-on experience with Snowflake as a Cloud Data Warehouse and Data Lake platform. Strong understanding of cloud environments, especially AWS (S3, Lambda, MWAA). Airline industry domain experience is a plus.

Job Title: Senior Snowflake Data Developer Experience: 6 - 10 Years Location: Bangalore / Mumbai / Chennai / Pune Employment Type: Full-Time Job Description: We are looking for an experienced Senior Snowflake Data Developer with a strong background in data engineering, Snowflake implementation, and cloud-based data solutions. The ideal candidate will have hands-on experience with Snowflake, SQL, Python, and cloud platforms (AWS/Azure), along with excellent analytical and communication skills. Key Responsibilities: Lead and implement end-to-end Snowflake projects, including migration from traditional data warehouses or new implementations. Develop, optimize, and tune SQL and SnowSQL queries for performance and scalability. Apply data modelling principles and best practices for designing and maintaining data structures. Work extensively on AWS/Azure cloud platforms for data processing and integration. Utilize advanced Snowflake features including Data Masking, Tagging, SnowPipe, RBAC controls, Virtual Warehouse sizing, Zero Copy Clone, Data Sharing, Streams & Tasks, Time Travel, Secure Data Sharing, DMF, Iceberg Tables, Dynamic Tables, Micro Partitioning, and Query Profiler. Implement ETL/ELT integration, data ingestion, conversion, and migration workflows. Develop and maintain scripts using Python and PySpark. Collaborate with teams using Jira, Confluence, and Agile methodologies. Prepare and review technical documentation, specifications, and peer reviews. Ensure adherence to cloud best practices and organizational data standards. Good to Have: Snowflake Certification. Hands-on experience with DBT (Data Build Tool). Experience in preparing and reviewing functional and technical specification documents. Strong analytical and problem-solving skills. Excellent communication and interpersonal skills. Client-facing experience with strong ownership and attention to detail. Immediate joiners will be preferred.

AWS Data Engineer  Requirements  3+ year of experience working on AWS Cloud platform with strong experience in Python Knowledge on AWS services such as - AWS S3, Glue, API Gateway, Crawler, Athena, Cloudwatch, Lambda, EC2, Route53, IAM, Aurora/Dynamic DB, Redshift is an advantage Knowledge/experience on CI/CD deployment tools (CloudFormation, Terraform, Jenkins) Experience/knowledge with streaming technologies is must preferably Kafka Should have knowledge/experience with SQL Experience developing REST API Good analytical skills Knowledge or experience developing microservices Familiar working on Linux platforms Have good understanding on pros and cons and the cost impact of the AWS services being leveraged Good Communication skills

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.

Job Title Recruitment Specialist Job Summary As a Recruitment Specialist at Taggd, you will drive full-cycle hiring for marquee clients across diverse industries (IT, Manufacturing, Automotive, Pharma, Consumer, etc.). You will ensure a high-quality, efficient, and outcome-driven recruitment process combining sourcing, stakeholder management, assessments, and data-driven decision making while delivering exceptional candidate and client experience. Key Responsibilities End-to-End Recruitment Lifecycle Manage the complete recruitment lifecycle for assigned roles: job requisition, candidate sourcing, screening, interviewing, assessment, offer coordination, and closure. Create and publish job advertisements across relevant channels (job boards, social media, professional networks, referrals, etc.). Build, maintain and manage a strong candidate pipeline active as well as passive to meet high-volume and diverse hiring mandates. Stakeholder & Client Management Liaise with hiring managers and clients to understand job requirements, role specifications, and delivery timelines. Provide regular updates to stakeholders on hiring status, candidate pipelines, and recruitment metrics (time-to-hire, source of hire, quality of hire, etc.). Candidate Screening & Assessment Screen resumes/applications to shortlist candidates based on defined criteria (skills, experience, cultural fit). Conduct initial screening (phone/video/in-person), coordinate further assessments or interviews, and support evaluation decisions. Maintain accurate candidate records, recruitment data, status updates in ATS or recruitment tracker. Process Excellence & Data-Driven Hiring Leverage data and recruitment analytics to monitor process KPIs and drive continuous improvement. Implement recruitment best practices, maintain consistency and quality standards in hiring across clients and roles. Candidate Experience & Employer Branding Ensure seamless, professional and positive experience for all candidates from first contact through offer stage. Represent Taggds brand professionally when interacting with candidates, clients, and external networks. Qualifications & Skills Bachelors degree in Human Resources, Business Administration, or related discipline (or equivalent work experience). Proven experience in full-cycle recruitment / talent acquisition preferably across multiple industries and handling high-volume mandates. Strong sourcing skills ability to leverage job boards, social media, professional networks, referrals, and passive talent pools. Excellent interpersonal, communication and stakeholder-management skills able to engage with clients, hiring managers and candidates across all levels. Capability to manage multiple roles simultaneously while maintaining quality, speed, and adherence to SLA (service-level agreement) and quality standards. Proficiency with Applicant Tracking Systems (ATS), recruitment tools, databases, and recruitment metrics/tracking. Data-driven mindset comfortable tracking and analysing recruitment metrics, recommending improvements, optimizing sourcing strategies.

As a Big Data Analyst at Socit Gnrale, your role will involve analyzing, organizing, and processing raw data using Bigdata technologies and Scala. You will be responsible for performing data validation, cleaning, and transformation using Big data technologies, Spark, and Scala. Additionally, you will be required to ingest and manage data in HDFS/Hive, analyze data using Spark, and produce meaningful insights for the business team. Your tasks will also include combining raw information from different sources, exploring ways to enhance data quality and reliability, and developing code using Software Craftmanship best practices such as Continuous delivery and Clean coding principles. Key Responsibilities: - Analyze, organize, and process raw data using Bigdata technologies and Scala - Perform data validation, cleaning, and transformation using Big data technologies, Spark, and Scala - Ingest and manage data in HDFS/Hive, analyze data using Spark, and produce meaningful insights for the business team - Combine raw information from different sources, explore ways to enhance data quality and reliability - Develop code using Software Craftmanship best practices such as Continuous delivery and Clean coding principles - Assist the business operations team with data samples to create proof of concepts - Ensure the new data sets are feeding the Business Intelligence setup i.e Dashboards on PowerBI - Liaise with BA to ensure subjects are getting prioritized, communicate to PO about progress and potential issues Qualifications Required: - 4 to 8 years of expertise and hands-on experience in Spark with Scala and Big data technologies - Good working experience in Scala and object-oriented concepts - Good working experience in HDFS, Spark, Hive, and Oozie - Technical expertise with data models, data mining, and partitioning techniques - Hands-on experience with SQL database - Understanding of CI/CD tools (Maven, Git, Jenkins) and SONAR - Knowledge of Kafka and ELK stack is a plus. Familiarity with Data visualization tools like PowerBI will be an added advantage - Strong communication and coordination skills with multiple stakeholders. Ability to assess existing situations, propose, and follow up on improvement actions - Good team spirit, ability to work in international/intercultural environments with lots of interactions with onsite stakeholders - Professional attitude: Self-motivated, fast learner, team player, independent If you choose to join Socit Gnrale, you will be part of an organization that believes in the power of individuals to drive change. The company encourages innovation, action, and a positive impact on the future. You will have the opportunity to grow in a stimulating and caring environment, contribute to initiatives that make a difference, and develop your expertise. Additionally, employees have the chance to dedicate several days per year to solidarity actions, supporting various causes and sharing skills with charities. Please note that the above details are extracted from the provided job description reference number 25000G3H.,

Role Overview: As a Database Performance & Data Modeling Specialist, your primary focus will be on optimizing schema structures, tuning SQL queries, and ensuring that data models are well-prepared for high-volume, real-time systems. You will be responsible for designing data models that balance performance, flexibility, and scalability. Additionally, you will conduct performance benchmarking to identify bottlenecks, analyze slow queries, and collaborate with developers and analysts to optimize application-to-database workflows. Key Responsibilities: - Design data models that balance performance, flexibility, and scalability - Conduct performance benchmarking to identify bottlenecks and propose improvements - Analyze slow queries to recommend indexing, denormalization, or schema revisions - Monitor query plans, memory usage, and caching strategies for cloud databases - Collaborate with developers and analysts to optimize application-to-database workflows Qualifications Required: - Strong experience in database performance tuning, especially in GCP platforms like BigQuery, CloudSQL, and AlloyDB - Proficiency in schema refactoring, partitioning, clustering, and sharding techniques - Familiarity with profiling tools, slow query logs, and GCP monitoring solutions - SQL optimization skills including query rewriting and execution plan analysis - Background in mutual fund or high-frequency financial data modeling preferred - Hands-on experience with relational databases like PostgreSQL, MySQL, distributed caching, materialized views, and hybrid model structures Additional Company Details: By joining this role, you will have the opportunity to shape high-performance data systems from the ground up, play a critical role in system scalability and responsiveness, and work with high-volume data in a cloud-native enterprise setting. Soft skills that are crucial for this role include being precision-driven with an analytical mindset, a clear communicator with attention to detail, and possessing strong problem-solving and troubleshooting abilities.,

As a Master Data Management Associate at Capgemini, you will have a key role in maintaining customer master data in compliance with global standards. Your responsibilities will include: - Creating, updating, and maintaining customer master data with accuracy and consistency. - Analyzing and correcting data inconsistencies. - Collaborating with business units such as Sales, Finance, Supply Chain, and IT to understand data requirements and resolve issues. To excel in this role, you should possess the following qualifications: - Proficiency in data management tools and systems like SAP and MDG. - Strong analytical and problem-solving skills. - Excellent communication and collaboration abilities. - Knowledge of global data standards and compliance requirements. - Ability to work independently and manage multiple tasks effectively. At Capgemini, you can shape your career with various internal opportunities and personalized career guidance from leaders. You will also enjoy comprehensive wellness benefits, including health checks, telemedicine, insurance coverage, elder care, and flexible work options. Capgemini is a global business and technology transformation partner with a diverse team of over 340,000 members in more than 50 countries. With a strong heritage of over 55 years, Capgemini is trusted by clients worldwide to leverage technology and expertise in AI, cloud, and data to address business needs effectively. Join us in unlocking the value of technology and building a more sustainable, inclusive world.,

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: As an Experienced Professional at HITACHI ENERGY TECHNOLOGY SERVICES PRIVATE LIMITED, you will have the responsibility for more than one Specialization within the Sub-family. You will apply practical knowledge of the job area obtained through advanced education and work experience. Working independently with general supervision, you will face difficult problems that are typically not complex. Your role may involve influencing others within the job area through the explanation of facts, policies, and practices. Key Responsibilities: - Develop Installed base and Improve data quality. - Leverage/utilize tool landscape and ensure the right assets /Site details are managed. - Support business use of EAM and promote successful business use cases. - Responsible for Documentation, Reporting, and Analysis. Monitor IB data and ensure accurate Customer, Site, and Installation Information data in ServIS by editing customer/site information as necessary. - Monitor and share progress on meeting and ensure the right IB Quality. - Provide or coordinate IB Management related trainings to local users as needed. - Generate reports, optimize/customize reports in the tool, having advanced knowledge of excel and Microsoft Office power application tools. - Ensure compliance with applicable external and internal regulations, procedures, and guidelines. - Live by Hitachi Energy's core values of safety and integrity, taking responsibility for your own actions while caring for your colleagues and the business. Qualifications Required: - Graduates from any discipline are eligible to apply. - 4 to 8 years of experience required. - Strong experience in Power BI, SQL, and Data Analytics, along with proven ability to manage global stakeholders. - Diverse industry experience and electrical industry knowledge preferred. - Must have a strong learning mindset and be proficient in data analytics along with Project co-ordination and management skills. - Proficiency in both spoken & written English language is required.,

We are looking for candidates who are self- motivated and willing to work from home and have passion in Data Entry.  We offer various types of data entries work:  Excel Numeric GED Form Filling Candidates must have skills:  Basic Computer Knowledge Typing speed of 40 w .p. m with accuracy of 98%   Must have knowledge about online data entry.  Perks And Benefit : 1) Flexible time                                                            2) Necessary training will be provided   Qualification : 12th and above  Salary: For Fresher 10k- 15k                      For Experience : 15k- 30k