42 Metadata Standards Jobs nearby Kodaikanal

Role Overview: As a Senior Salesforce Developer at Technementals Innovation India Private Limited, your role will involve designing, customizing, and maintaining CRM applications within Salesforce to support business processes. You will be responsible for ensuring scalability, integration with other applications using APIs, and optimizing Salesforce application performance. Additionally, you will stay updated with Salesforce trends, mentor junior developers, and maintain data governance and security best practices. Key Responsibilities: - Design and customize CRM applications in Salesforce, ensuring scalability and integration with other applications using APIs. - Create and maintain efficient, reliable code in Apex and Visualforce, manage deployments, and perform rigorous testing. - Address and resolve bugs, optimize Salesforce application performance. - Implement data governance and ensure compliance with security best practices. - Stay updated with Salesforce trends and innovations, enhancing platform capabilities. - Mentor and coach junior developers. Qualifications Required: - 5+ years of strong experience with Java-script, Java development (Core Java 8 + concurrency / Spring Framework), and HTML. - 3+ years of strong experience with relational databases and SQL. Oracle/PostgreSQL experience is a plus. - Thorough knowledge of coding best practices, general OOP concepts, and design patterns. - Experience in integrating systems using SOAP/REST Services. - Experience with advanced APEX programming concepts and efficient trigger handling preferred. - Experience in working with Force Bulk API and Metadata API preferred. - Good English skills, as well as good verbal and written communication skills. - Passion for working within an Agile development methodology and collaborative team environment. - Detail-oriented approach prioritizing quality of work and high standards. - Outstanding organizational skills and ability to manage several projects per sprint. Additional Company Details: Technementals Innovation India Private Limited is an industry-leading, internationally recognized FX and CFD Broker. The company offers a dynamic environment for senior developers with broad development experience to grow within the Salesforce ecosystem. Please review the company's website at https://www.tradu.com/uk/ to understand more about the organization. All employees must be eligible to work in India.,

As a Business Intelligence (BI) Analyst, your role will involve transforming raw healthcare and financial data into actionable insights. You will develop interactive dashboards and reports to empower operational leaders, client services teams, and executive decision-makers in monitoring revenue cycle performance, identifying gaps, and taking corrective actions. Your contribution will be crucial in integrating business logic, visual storytelling, and data-driven strategies into RCM Solutions. **Key Responsibilities:** - Conduct variance analysis between expected vs. actual collections at the CPT, provider, or facility level. - Perform root cause analysis on recurring AR issues and collaborate with the Engineering team to address inefficiencies. - Provide comparative benchmarking analysis across clients, facilities, or billing teams to identify high and low performers. - Analyze operational data to uncover gaps in performance and revenue leakage. - Build and automate monthly and quarterly performance reports for internal review and client delivery. - Support the creation of early warning systems using thresholds and alerts to flag potential revenue risks. - Build optimized data models and star schemas for efficient querying and reporting. - Ensure data integrity, accuracy, and consistency across all reports and dashboards. - Design and maintain semantic layers and calculated measures to standardize KPIs. - Work with data engineering and ETL teams to define data transformation logic and join relationships. - Conduct audits and validations to ensure report outputs match source system data. - Create data dictionaries and metadata documentation to support self-service BI and reporting adoption. - Create client-specific dashboards aligned with contractual SLAs, performance KPIs, and custom reporting formats. - Participate in client calls, review meetings, or QBRs to explain BI findings and gather feedback. - Tailor reports to meet the operational and financial goals of each client based on their specialty. - Support onboarding of new clients by designing initial reporting templates based on contractual agreements. - Collaborate with client-facing teams to identify and implement report automation based on client preferences. - Partner with Data Analysts to integrate deeper insights into business dashboards. - Work closely with Client Services Managers to understand client expectations and customize reporting. - Collaborate with the technology team to align data infrastructure and build Technology for RCM. - Design, develop, and maintain interactive dashboards and reports using BI tools. - Visualize trends across critical RCM KPIs and develop dynamic dashboards. - Incorporate visual indicators and alerts to help users interpret performance issues. - Ensure dashboards are responsive and optimized for various screen sizes and devices. - Perform updates and enhancements to dashboards based on evolving client requirements. **Additional Details:** - Ensure accuracy, consistency, and security of healthcare data in compliance with HIPAA and company standards. - Participate in ETL/data validation and cleansing tasks as required.,

As a Senior Data Modeler at our organization, you will play a crucial role in defining and evolving our data architecture and modeling practices. You will collaborate with cross-functional teams, mentor others, and contribute to the development of enterprise data models. **Key Responsibilities:** - Assist in establishing and maintaining information architecture best practices aligned with the organization's data strategy - Drive data modeling initiatives and contribute to the overall data architecture design and development - Develop and maintain conceptual, logical, and physical data models following industry standards - Capture and manage metadata within the enterprise data catalog for accurate documentation - Evaluate proposed data models in purchased applications and ensure compliance with standards - Educate stakeholders on data strategy principles to promote a strong data culture - Ensure compliance with security and regulatory policies in enterprise information architecture - Collaborate with stakeholders to design effective data models meeting evolving requirements - Participate in design reviews at different stages of the development lifecycle **Qualifications Required:** - A university degree equivalent to BS/MS in Computer Science, Life Sciences, or related field - 5+ years of experience as a Business Analyst with expertise in business process reengineering and user requirement gathering - Proficient in data modeling, ERWin diagrams, data analytics, SQL, data warehousing, and business intelligence practices - Strong communication skills in English In addition to the key responsibilities and qualifications, it would be nice to have experience in the pharmaceutical industry, agile methodologies, team coordination, and familiarity with Collibra.,

As an Applications Development Intermediate Programmer Analyst, your role involves designing, developing, and optimizing ETL workflows and data integration solutions using Ab Initio or Talend. You will work closely with business and technology teams to ensure seamless data processing and transformation. Responsibilities: - Design, develop, and implement ETL pipelines using Ab Initio or Talend. - Work with structured, semi-structured, and unstructured data from multiple sources. - Optimize data processing and transformation workflows for efficiency and scalability. - Troubleshoot and resolve performance issues in ETL processes. - Collaborate with data architects, analysts, and business teams to define data requirements. - Ensure data quality, integrity, and governance standards are met. - Develop and maintain metadata and documentation for ETL processes. - Implement and manage job scheduling and automation tools. Qualifications: - 4-6 years of relevant experience working with Talend, Ab Initio (GDE, Express>IT, Conduct>IT) or Talend (Data Fabric, Open Studio, etc.). - Strong knowledge of SQL, PL/SQL, and database systems (Oracle, SQL Server, PostgreSQL, etc.). - Experience with ETL optimization, debugging, and performance tuning. - Experience in API integration, web services, and cloud platforms (AWS, Azure, GCP) is a plus. - Strong understanding of data warehousing concepts and ETL best practices. - Hands-on experience with version control tools (Git, SVN, etc.). - Strong analytical and problem-solving skills. - Excellent communication and teamwork skills. - Consistently demonstrates clear and concise written and verbal communication. - Demonstrated problem-solving and decision-making skills. - Ability to work under pressure and manage deadlines or unexpected changes in expectations or requirements. Preferred Qualifications: - Certifications in Ab Initio, Talend, or cloud technologies are a plus. - Experience with CI/CD pipelines for ETL deployment. Education: - Bachelors degree/University degree or equivalent experience.,

Role Overview: You will be responsible for designing, building, and optimizing large-scale ETL and data-processing pipelines within the Databricks ecosystem. Your role will involve migrating selected workloads to high-performance engines like Polars and DuckDB while maintaining strong engineering rigor. You will need to apply analytical thinking to address data reliability, performance, and scalability issues. Familiarity with AI concepts will be advantageous in this role. Key Responsibilities: - Develop and maintain distributed data pipelines using Scala, Spark, Delta, and Databricks. - Engineer robust ETL workflows for high-volume ingestion, transformation, and publishing. - Profile pipelines, identify and eliminate bottlenecks, and optimize compute, storage, and job orchestration. - Lead the migration of suitable workloads to high-performance engines such as Polars, DuckDB, or equivalent. - Implement CI/CD workflows with automated builds, tests, deployments, and environment gating. - Enforce coding standards through code coverage targets, unit/integration tests, and SonarQube rules. - Ensure pipeline observability by implementing logging, data quality checks, lineage, and failure diagnostics. - Apply analytical reasoning to troubleshoot complex data issues and provide root-cause clarity. - Collaborate with product, analytics, and platform teams to operationalize data solutions. Qualification Required: - 3+ years of experience in data engineering with a strong command of Scala and Spark. - Proven background in ETL design, distributed processing, and high-volume data systems. - Hands-on experience with Databricks, including jobs, clusters, notebooks, and Delta Lake. - Proficiency in workflow optimization, performance tuning, and memory management. - Experience with high-performance engines like Polars, DuckDB, or similar columnar/accelerated engines. - Knowledge of CI/CD discipline using Git-based pipelines, strong testing practices, and code-quality standards. - Familiarity with SonarQube, coverage metrics, and static analysis. - Strong analytical and debugging capabilities across data, pipelines, and infrastructure. - Exposure to AI concepts such as embeddings, vector stores, retrieval-augmented generation, fine-tuning, and agentic architectures. Additional Details: Experience with Azure cloud environments and metadata-driven or config-driven pipeline frameworks is preferred.,

As a Senior Software Developer specializing in Business Intelligence for a Banking Project, you will play a crucial role in leading the redevelopment of advanced reports and dashboards. Your responsibilities will include: - Redesigning complex OBIEE reports in MicroStrategy with prompts, advanced filters, and formatting. - Building interactive dashboards/dossiers, ensuring navigation parity with OBIEE. - Optimizing BI queries and ensuring semantic consistency with the metadata repository. - Mentoring BI Developers to ensure adherence to design standards. To excel in this role, you must possess the following essential skills: - Strong knowledge of OBIEE and MicroStrategy. - Experience in migrating BI reports and dashboards across platforms. Additionally, the job description mentions that the ideal candidate should have 6-8 years of experience in BI reporting.,

As a Data Test Manager at Myridius, your role involves strategic ownership of defining and implementing the overall Data Testing and Quality Assurance strategy for enterprise data platforms, data lakes, and data warehouses. Your responsibilities include: - Establishing standardized data testing frameworks, methodologies, and quality governance processes across programs - Managing and overseeing multiple data testing projects to ensure quality, schedule adherence, and efficient resource utilization - Collaborating with Data Architects, Engineering, Product, and Business stakeholders to align data testing with enterprise data initiatives - Driving end-to-end test planning, execution, and sign-off across ETL, data migration, integration, and BI validation layers - Defining automation-first strategy using tools like DataGaps, Tricentis Data Integrity, QuerySurge, dbt tests, or custom frameworks - Working with DevOps teams to embed automated data testing within CI/CD pipelines for continuous data quality checks - Tracking KPIs, DQ metrics, and ROI for testing initiatives and leading and mentoring Data Test Leads and Engineers - Identifying opportunities for process optimization, cost reduction, and test efficiency gains through automation and standardization - Ensuring testing alignment with data governance, security, and compliance standards and managing relationships with testing tool vendors Qualifications Required: - Minimum 5+ years of experience in QA with at least 5+ years in Data Testing leadership or Data Quality Management roles - Proven experience in managing large-scale data testing programs across data lakes, warehouses, and integration ecosystems - Strong hands-on experience in SQL, ETL/ELT pipelines, data transformation, and reconciliation processes - Hands-on experience or strong knowledge of data testing tools such as DataGaps, Tricentis DI, QuerySurge, dbt tests, Apache Griffin, or Great Expectations - Experience with Big Data (Hadoop, Spark, Hive) and Cloud Platforms (Snowflake, Redshift, BigQuery, Azure Synapse, Databricks) - Exposure to BI validation across tools like Tableau, Power BI, Looker - Knowledge of CI/CD integration for automated data testing pipelines and Data Governance and Metadata Management principles About RCG Global Services: Formerly known as RCG Global Services, Myridius offers tailored solutions in AI, data analytics, digital engineering, and cloud innovation to drive significant growth and maintain a competitive edge in the global market. With a commitment to exceeding expectations and fostering sustainable innovation, Myridius collaborates with clients to co-create transformative outcomes in a world of continuous change. Visit www.myridius.com to start leading the change.,

You will be responsible for defining and governing target-state architecture across Snowflake, Informatica, and MicroStrategy. Your key responsibilities will include: - Designing Snowflake schemas, partitioning, and security model. - Defining standards for ADF ingestion frameworks and Informatica mappings. - Architecting MicroStrategy semantic model (metadata repository) to replace OBIEE RPD. - Ensuring scalability, reusability, and performance optimization across data and BI layers. - Providing oversight for development and ensuring architecture alignment. To be successful in this role, you must possess the following essential skills: - Strong hands-on knowledge of Snowflake, Informatica, and MicroStrategy. - Experience in migrating from legacy Oracle/OBIEE stacks to cloud BI platforms. Additionally, you should have at least 10 years of experience in data architecture with cloud platforms. (Note: No additional details about the company were provided in the job description.),

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,

As a Data Governance Lead, your role will involve driving enterprise-wide data governance, architecture, and management initiatives. You will play a crucial part in establishing data standards, ensuring data quality, and enabling secure, compliant, and value-driven data usage across the organization. **Key Responsibilities:** - Lead the implementation of data governance frameworks, policies, and standards. - Define and manage data ownership, stewardship roles, and accountability structures. - Ensure compliance with regulatory and privacy requirements (e.g., GDPR, SOX etc). - Design and maintain conceptual, logical, and physical data models. - Collaborate with business and technical teams to ensure models align with business needs. - Promote standardization and reuse of data assets across platforms. - Lead data migration strategies for legacy systems and cloud platforms. - Ensure data integrity, lineage, and quality during migrations. - Work with ETL and integration teams to streamline data flows. - Partner with BI teams to ensure data is structured for effective visualization. - Support dashboard and reporting initiatives with clean, well-governed data. - Promote self-service analytics through governed data catalogs. - Collaborate with InfoSec to implement data protection controls. - Ensure sensitive data is classified, encrypted, and accessed securely. - Monitor and audit data access and usage patterns. - Implement metadata management tools and practices. - Maintain data lineage documentation to support traceability and impact analysis. - Act as a liaison between business units, IT, and data teams. - Educate stakeholders on data governance principles and best practices. - Drive cultural change toward data-driven decision-making. **Required Qualifications:** - 10+ years of experience in data management, with at least 3 years in a data governance or architecture leadership role. - Excellent communication and stakeholder management skills. - Strong analytical and problem-solving abilities. - Experience in Agile project environments. - Experience in projects using Snowflake for data migration, data warehouse, and governance. - Strong understanding of DAMA-DMBOK principles. - Hands-on experience with data modeling tools (e.g., Erwin, PowerDesigner). - Experience with data governance platforms (e.g., Collibra, Informatica, Alation). - Familiarity with AWS cloud platform. - Knowledge of data privacy regulations and security frameworks. In this role, certifications such as CDMP (Certified Data Management Professional) are considered a plus.,

As the Operational Onboarding Manager for third-party content partners at Elsevier, your primary role is to manage the end-to-end operational onboarding and life-cycle management of all third-party content partners contributing to Elsevier's AI products. You will act as the central orchestrator between partner organizations and internal teams such as Product, Engineering, Legal, and Finance to ensure smooth content flows, contract progression, and stakeholder alignment with ingestion targets. Key Responsibilities: - Manage day-to-day relationships and SLA adherence for approximately 100 live providers across journals, books, and OA aggregators - Ensure compliance with internal standards and timelines - Drive workflow optimization to reduce onboarding time and proactively identify operational inefficiencies - Track and manage content ingestion and delivery pipelines - Lead the rollout of automated contract flows and maintain playbooks for new partner types - Publish monthly Tableau dashboards on ingestion volume, partner health, and revenue share - Escalate risks early and maintain a transparent knowledge base for internal stakeholders - Support the creation and maintenance of a centralized knowledge base for stakeholder transparency and accountability Required Qualifications: - 3+ years of experience in content operations or partner enablement within publishing or SaaS - Proven program-management skills across functions - Working knowledge of Salesforce or comparable CRM workflows - Data fluency with the ability to interpret dashboards and spot anomalies - Strong stakeholder communication and issue-resolution abilities - Familiarity with digital content licensing concepts (rights, metadata, revenue share) Nice-to-Haves: - Experience with AI-powered discovery, STM content, or open-access aggregation - Exposure to product development methodologies and software like JIRA/Confluence Working Environment: - Location: Remote or hybrid within North America or Europe time zones - Travel: Less than 10% for occasional partner or team off-sites - Reports to Director of Product Management and partners daily with Business Development, Engineering, Legal, and Finance teams Elsevier offers you the opportunity to sit at the core of the strategy to transform trusted research content into AI-ready assets, enabling breakthrough discovery for millions of scientists worldwide. Your operational excellence will directly contribute to accelerating this mission. If you are ready to streamline how the world's research enters the AI era, apply with your resume and a brief note highlighting a process improvement you spearheaded in a prior role. Please be aware of potential scams during the hiring process and refer to the Candidate Privacy Policy for more information.,

You will be responsible for overseeing the end-to-end operational onboarding and life-cycle management of all third-party (3P) content partners contributing to Elsevier's AI products. Acting as the central coordinator between partner organizations and internal teams, you will ensure smooth content flow, contract progress, and stakeholder alignment. - Manage relationships and ensure adherence to service level agreements with approximately 100 live providers across various content types - Ensure compliance with internal standards and timelines - Drive workflow optimization to reduce onboarding time and identify operational inefficiencies - Track and manage content ingestion and delivery pipelines - Lead the implementation of automated contract flows and maintain playbooks for new partner types - Publish monthly Tableau dashboards on ingestion volume, partner health, and revenue share - Escalate risks proactively and maintain a transparent knowledge-base for internal stakeholders - Support the creation and maintenance of a centralized knowledge base for stakeholder transparency and accountability - 3+ years of experience in content operations or partner enablement within publishing or SaaS - Proven program-management skills across different functions - Working knowledge of Salesforce or comparable CRM workflows - Data fluency to interpret dashboards (Tableau, Power BI) and identify anomalies - Strong stakeholder communication and issue-resolution abilities - Familiarity with digital content licensing concepts (rights, metadata, revenue share) is a plus The working environment offers remote or hybrid options within North America or Europe time zones with less than 10% travel for occasional partner or team off-sites. The role reports to the Director of Product Management and involves daily collaboration with Business Development, Engineering, Legal, and Finance teams.,

As a Data Analysis and Data Modelling professional with expertise in Snowflake & Oracle, you will be joining the team in Chennai, Tamil Nadu, India. Your responsibilities will include hands-on relational, dimensional, and/or analytic experience, working with databases such as Oracle, PostgreSQL, Snowflake, and Teradata. You will be involved in modeling, design, configuration, installation, performance tuning, and sandbox POC activities. Moreover, you will play a crucial role in defining data modelling standards, guidelines, and supporting large-scale data-driven implementations. - Hands-on experience in data modeling, ER diagram, and enterprise software design for relational and analytical systems - Good knowledge of metadata management, data modeling tools such as Erwin or ER Studio - Ability to define data modelling standards and guidelines for complex large-scale data implementations - Strong experience in data modeling activities supporting history handling time series data warehousing & data transformations - Strong SQL knowledge and work experience with databases such as Oracle, PostgreSQL, Snowflake, Teradata Qualifications Required: - Bachelors or masters degree in computer/data science or related technical experience - 7+ years of hands-on experience in relational, dimensional, and/or analytic data analysis - Good understanding of semantic data modeling concepts and multi-Fact model - Strong communication skills - Ready to work in 10:30 AM to 8:30 PM Shift - Flexible to work in Client Location Ramanujam IT park, Taramani, Chennai NTT DATA is a trusted global innovator of business and technology services, with a commitment to helping clients innovate, optimize, and transform for long-term success. With a diverse team of experts in over 50 countries and a robust partner ecosystem, NTT DATA offers services including business and technology consulting, data and artificial intelligence, industry solutions, and application development and management. As a part of the NTT Group, NTT DATA invests significantly in R&D to support organizations and society in moving confidently into the digital future. Visit us at us.nttdata.com.,

As an Informatica MDM-PIM Consultant at Infoya, your role will involve designing & configuring Informatica P360 solutions, Informatica MDM, Java development, SQL, and data analysis. Your expertise in production support and ActiveVOS workflow management will be crucial for delivering successful outcomes. **Roles & Responsibilities:** - Implement and manage Informatica Product 360 (iP360) solutions across various business units - Configure and deploy P360 on AWS/Azure provisioned environment - Integrate Informatica MDM with P360 for streamlined master data management - Create and manage catalogues - Profile source data and determine source data and metadata characteristics - Design and execute data quality mappings for data cleansing and de-duplication - Develop workflows using ActiveVO designer - Utilize IDQ designer to develop mapplets and data quality rules - Extract, transform, and load data using Informatica Data Integration platform - Develop data integration mapping designs - Implement ingestion and integration processes on Cloud technologies like AWS or GCP - Build Java-based custom components for integration and automation - Perform data transformation on XML or JSON documents - Unit test process flows for accuracy - Provide production support including monitoring, incident resolution, and system optimization **Qualifications:** **Technical Experience:** - 6+ years of experience as an Informatica Developer with MDM-PIM configuration experience - Proficient in Informatica P360 and Informatica Developer Components - Knowledgeable in Informatica Data Quality standards and best practices - Experience deploying P360 solutions on AWS and/or Azure - Familiarity with Java/J2EE technologies for SDK work - Strong database technology experience with SQL databases (Oracle, SQL Server, PostgreSQL, etc.) - Experience in defining and deploying data quality programs on enterprise projects - Data analyst experience including data profiling, mapping, validation, manipulation, and analysis - Workflows development experience using Informatica ActiveVOS - Ability to translate business problems into data quality initiatives - Familiar with Data Quality technologies trends As an Informatica MDM-PIM Consultant at Infoya, you will have the opportunity to work in a dynamic and collaborative environment, with competitive salary and benefits, professional development opportunities, and the chance to collaborate with a diverse and talented team. As an Informatica MDM-PIM Consultant at Infoya, your role will involve designing & configuring Informatica P360 solutions, Informatica MDM, Java development, SQL, and data analysis. Your expertise in production support and ActiveVOS workflow management will be crucial for delivering successful outcomes. **Roles & Responsibilities:** - Implement and manage Informatica Product 360 (iP360) solutions across various business units - Configure and deploy P360 on AWS/Azure provisioned environment - Integrate Informatica MDM with P360 for streamlined master data management - Create and manage catalogues - Profile source data and determine source data and metadata characteristics - Design and execute data quality mappings for data cleansing and de-duplication - Develop workflows using ActiveVO designer - Utilize IDQ designer to develop mapplets and data quality rules - Extract, transform, and load data using Informatica Data Integration platform - Develop data integration mapping designs - Implement ingestion and integration processes on Cloud technologies like AWS or GCP - Build Java-based custom components for integration and automation - Perform data transformation on XML or JSON documents - Unit test process flows for accuracy - Provide production support including monitoring, incident resolution, and system optimization **Qualifications:** **Technical Experience:** - 6+ years of experience as an Informatica Developer with MDM-PIM configuration experience - Proficient in Informatica P360 and Informatica Developer Components - Knowledgeable in Informatica Data Quality standards and best practices - Experience deploying P360 solutions on AWS and/or Azure - Familiarity with Java/J2EE technologies for SDK work - Strong database technology experience with SQL databases (Oracle, SQL Server, PostgreSQL, etc.) - Experience in defining and deploying data quality programs on enterprise projects - Data analyst experience including data profiling, mapping, validation, manipulation, and analysis - Workflows development experience using Informatica ActiveVOS - Ability to translate business problems into data quality initiatives - Familiar with Data Quality technologies trends As an Informatica MDM-PIM Consultant at Infoya, you will have the opportunity to work in a dynamic and collaborative environment, with competitive salary and benefits, professional development opportunities, and the chance to collaborate with a diverse and talented team.

Role Overview: As a Data Architect at Wipro Limited, your role is to define and develop Enterprise Data Structure, Data Warehouse, Master Data, Integration, and transaction processing while maintaining and strengthening modeling standards and business information. Key Responsibilities: - Partner with business leadership to provide strategic, information-based recommendations to maximize the value of data and information assets, while embracing innovation - Assess benefits and risks of data using tools such as business capability models to create a data-centric view - Create data strategy and roadmaps for Reference Data Architecture - Engage stakeholders to implement data governance models and ensure compliance with Data Modeling standards - Oversee and monitor frameworks to manage data across the organization - Provide insights for database storage and platform for ease of use - Collaborate with vendors to ensure system integrity and configuration - Develop high-level data migration plans and knowledge of Data service provider platforms - Collect, aggregate, match, consolidate, quality-assure, persist, and distribute data throughout the organization - Provide solutions for RFPs from clients and ensure overall implementation assurance - Develop direction to manage the portfolio of all databases and analyze technology environment and client requirements for collaboration solutions Qualifications Required: - Strong understanding of activities within primary disciplines such as Master Data Management, Metadata Management, and Data Governance - Experience in Conceptual, Logical, and physical database architectures, design patterns, best practices, and programming techniques - Ability to build and maintain relationships with delivery and practice leadership teams - Strong experience in developing and establishing technical and business process metrics - Ability to identify technical, process, and structural risks and prepare risk mitigation plans - Strong technical capability in presenting solution designs to clients and acting as a trusted advisor Additional Details: Wipro Limited is a leading technology services and consulting company focused on building innovative solutions for digital transformation. With over 230,000 employees and business partners across 65 countries, Wipro helps clients realize their boldest ambitions and build future-ready, sustainable businesses. Join Wipro to be a part of a business powered by purpose and a place that empowers you to design your own reinvention.,

Role Overview: As a Data/Information Management Analyst 2 at Citigroup, you will be a developing professional who applies specialty area knowledge in monitoring, assessing, analyzing, and evaluating processes and data. You will be responsible for identifying policy gaps, formulating policies, interpreting data, making recommendations, and researching factual information. Your role will involve identifying inconsistencies in data, defining business issues, and formulating recommendations on policies, procedures, or practices. Additionally, you will integrate established disciplinary knowledge within your specialty area with a basic understanding of related industry practices. Key Responsibilities: - Responsible for various data activities including database administration, data analysis, maintenance, data quality, and database management or architecture/design engineering - Perform routine operational or administrative work with a focus on administering defined procedures, analyses, and report preparation - Develop working knowledge of industry practices and standards - Appropriately assess risk when making business decisions and demonstrate consideration for the firm's reputation and compliance with applicable laws and regulations - Engage resources outside of your direct control to achieve objectives Qualifications: - 0-2 years of relevant experience - Proficiency in analytic tools such as SAS E-miner, Knowledge Seeker, SPSS, etc. - Experience with big data and machine learning tools like R, Python, etc. - Ability to engage resources outside of direct control to achieve objectives - Bachelor's/University degree or equivalent experience About the Company: Citigroup's Analytics Information Management (AIM) is a global community dedicated to driving data-driven transformation across the organization. The AIM team works with Citi businesses and functions worldwide to create actionable intelligence for business leaders. Additional Details: The Data Management- Metadata and Data Lineage Team within AIM is responsible for managing the implementation of data quality measurement programs in the retail consumer bank. The team supports regulatory compliance, metrics design, data governance, issue management, and audit support. As a Data Steward Analyst, you will be responsible for defining, documenting, maintaining, and communicating metadata, performing data lineage, and supporting the use of metadata for data consumers. You will work with business partners to identify critical data elements, capture metadata, review business glossary, and lead efforts to implement data governance policies and procedures. Overall, this role requires expertise in analytical skills, data analysis, visualization, tools and platforms like data lineage and metadata management tools, MS Excel, PowerPoint, and Word, as well as a good understanding of data definitions, data quality framework, and data governance. Soft skills such as problem-solving, communication, project management, and the ability to work well across multiple functional areas are essential for success in this role. Education and Experience: - MBA/Master's degree in Economics/Statistics/Mathematics/Information Technology/Computer Applications/Engineering or equivalent - Post Graduate in Computer Science, Mathematics, Operations Research, Econometrics, Management Science, or related fields (preferred) - 2 to 8 years of hands-on experience in delivering data quality solutions, with at least 2 years of experience in Banking Industry.,

Role Overview: You will be responsible for ensuring the accuracy, completeness, consistency, and reliability of the data analytics, reporting, and data products across the organization. You will collaborate with cross-functional teams to deliver high-quality software solutions while adhering to best practices. Additionally, you will define, implement, and maintain data quality rules, validations, and profiling across key datasets. Key Responsibilities: - Work with Data Engineers and Analysts to identify critical data elements (CDEs) and set quality thresholds. - Establish data quality SLAs and alerting mechanisms for pipeline failures or data anomalies. - Build or integrate tools for automated data validation, profiling, and anomaly detection. - Develop test suites for pipelines, including row count checks, null value thresholds, schema validation, and referential integrity. - Contribute to data observability frameworks and metadata enrichment to increase data transparency. Qualifications Required: - Bachelor's degree or equivalent in Computer Science, Electrical/Electronics Engineering, MIS, or related discipline. - Relevant work experience in data quality testing based on the following number of years: - Associate: Prior experience not required - Standard I: Two (2) years - Standard II: Three (3) years - Senior I: Four (4) years - Senior II: Five (5) years Company Details: FedEx is one of the world's largest express transportation companies and has consistently been selected as one of the top 10 Worlds Most Admired Companies by "Fortune" magazine. FedEx is committed to a diverse, equitable, and inclusive workforce, enforcing fair treatment, and providing growth opportunities for everyone. The company was built on a philosophy that puts people first and is an equal opportunity/affirmative action employer. FedEx values its team members, encourages innovation, cares for their well-being, and invests back in its people to ensure outstanding service delivery for customers. FedEx's success is attributed to its unique culture and values, which have been a cornerstone of its growth and success since the early 1970s.,

As a Data Science Manager at our company, your role will involve implementing the complete analytical section of the product based on the defined functional scope. This includes extracting, collating, and cleansing data from various entities, identifying suitable databases for data storage, and implementing industry-standard statistical models with Machine Learning and Deep Learning algorithms. Key Responsibilities: - Implement the complete analytical section of the product based on the defined functional scope, including necessary documentation and prototypes. - Extract, collate, and cleanse data from various entities. - Identify suitable databases (SQL/NoSQL) for data storage and various technology stacks and libraries for data analysis and processing. - Implement industry-standard statistical models with Machine Learning and Deep Learning algorithms, incorporating predictive and auto-learning capabilities. - Identify meaningful insights and foresights from data and metadata sources based on the models. - Interpret and communicate findings to the product manager to derive more business strategies. - Visualize various dimensions of data for both web and mobile platforms. - Showcase output through demos, prototypes, and working systems in regular review meetings. - Continuously refine models for accuracy. - Analyze, review, and track trends and tools in Data Sciences, Machine Learning, Artificial Intelligence, and Augmented Intelligence, and appropriately apply these learnings to the product. - Interface the analytical system with transaction systems for both information reporting and to process actionable items derived through analytics. - Ensure Quality, Security, Performance, Scalability, Reliability, and Availability are key factors in the implementation of the analytics system. - Deploy and train various Large Language Models (LLMs) for AI agents and domain-specific applications. - Implement Retrieval Augmented Generation (RAG) pipelines along with Vector databases to enhance the intelligence of LLMs and agent performance. - Stay up-to-date with advancements in AI, including emerging LLM architectures and agentic AI frameworks and technologies. Qualifications: - Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related quantitative field. - 5-7 years of experience in data science, with a proven track record of leading and implementing data science projects. - Strong expertise in statistical modeling, machine learning, and deep learning algorithms. - Proficiency in programming languages such as Python or R. - Experience with SQL/NoSQL databases and big data technologies. - Familiarity with data visualization tools. - Experience with LLMs, RAG pipelines, and vector databases is highly desirable. - Excellent communication and interpersonal skills, with the ability to interpret and present complex data insights to non-technical stakeholders. - Ability to work independently and collaboratively in a fast-paced environment. - Experience in the banking domain is an added advantage.,

As a Senior Engineer in SAP BODS, your role will involve the following key responsibilities: - Designing and implementing data integration solutions across SAP and non-SAP systems - Hands-on experience in SAP BODS, including data flows, workflows, transforms, and job scheduling - Proficiency in ETL design and optimization for handling large volumes of structured and semi-structured data - Experience with data migration, cleansing, and transformation across Enterprise Data Warehouse systems - Solid understanding of SQL, PL/SQL, and database performance tuning - Knowledge of data quality management, error handling, and exception reporting - Exposure to cloud data platforms such as AWS Redshift, Azure Synapse, and GCP BigQuery - Familiarity with data visualization tools like Power BI, Tableau, or SAP BO - Understanding of data governance, metadata management, and compliance standards - Working experience in Agile/Scrum methodologies - Exposure to leveraging AI OPS for predictive analytics and operational efficiency - Experienced in deploying and maintaining ML models in production environments - Familiarity with design and implementation of scalable API solutions Qualifications required for this role include: - Bachelors or Masters degree in Computer Science, Information Systems or a related field - SAP Certified Application Associate Data Services is preferred - Cloud Certifications (AWS, Azure, or GCP) at Associate level or higher - 5+ years of experience in data engineering or ETL development, with at least 3 years of hands-on experience in SAP BODS - Exposure to large-scale enterprise data environments and agile delivery models If you are looking for an exciting opportunity in Chennai and have the relevant experience and qualifications, we are seeking immediate joiners who can contribute effectively to our team. As a Senior Engineer in SAP BODS, your role will involve the following key responsibilities: - Designing and implementing data integration solutions across SAP and non-SAP systems - Hands-on experience in SAP BODS, including data flows, workflows, transforms, and job scheduling - Proficiency in ETL design and optimization for handling large volumes of structured and semi-structured data - Experience with data migration, cleansing, and transformation across Enterprise Data Warehouse systems - Solid understanding of SQL, PL/SQL, and database performance tuning - Knowledge of data quality management, error handling, and exception reporting - Exposure to cloud data platforms such as AWS Redshift, Azure Synapse, and GCP BigQuery - Familiarity with data visualization tools like Power BI, Tableau, or SAP BO - Understanding of data governance, metadata management, and compliance standards - Working experience in Agile/Scrum methodologies - Exposure to leveraging AI OPS for predictive analytics and operational efficiency - Experienced in deploying and maintaining ML models in production environments - Familiarity with design and implementation of scalable API solutions Qualifications required for this role include: - Bachelors or Masters degree in Computer Science, Information Systems or a related field - SAP Certified Application Associate Data Services is preferred - Cloud Certifications (AWS, Azure, or GCP) at Associate level or higher - 5+ years of experience in data engineering or ETL development, with at least 3 years of hands-on experience in SAP BODS - Exposure to large-scale enterprise data environments and agile delivery models If you are looking for an exciting opportunity in Chennai and have the relevant experience and qualifications, we are seeking immediate joiners who can contribute effectively to our team.

As the Director of Data Analytics, Science & AI Enablement at Chargebee, your role will be crucial in leading the development and growth of a data function that drives enterprise-wide AI initiatives. You will play a key part in designing, building, and managing a team responsible for data analytics, data science, data governance, and structured data enablement to support advanced AI/ML use cases. **Roles and Responsibilities:** - **Data Analytics, Science and AI Enablement Leadership** - Lead the development and deployment of machine learning, generative AI, recommendation systems, and predictive models to enhance product intelligence and automation. - Scale AI capabilities across the platform, including personalization, NLP, anomaly detection, and customer segmentation. - Ensure that models are interpretable, ethical, and in alignment with business and customer trust standards. - **Business Analytics & Insights** - Drive insights into user behavior, product performance, churn prediction, and lifecycle value utilizing customer and usage data. - Develop dashboards, KPIs, and self-service analytics tools for marketing, product, sales, and support teams. - Own the customer analytics roadmap to enhance onboarding, conversion, retention, and upsell opportunities. - **Team Building & Cross-Functional Leadership** - Establish and lead a high-performance team of data scientists, AI/ML engineers, analysts, and data product managers. - Collaborate with various departments to align data strategy with business objectives and legal requirements. - Communicate findings to senior leadership and influence roadmap decisions through data-backed recommendations. - **Data Infrastructure & Governance** - Work with Data Engineering to ensure scalable data architecture and high-quality data pipelines. - Oversee data quality, governance, and compliance across all analytical and operational systems. - Implement scalable data architecture and governance frameworks, ensuring compliance with data privacy regulations. - **Team Leadership & Vision** - Build and lead a high-performing global team of data analysts, data scientists, and data engineers. - Define and execute a comprehensive data and AI enablement roadmap aligned with company goals. - **Data & AI Strategy Enablement** - Drive data availability, quality, and governance across the organization to support AI and advanced analytics initiatives. - Partner with engineering, product, and business stakeholders to identify opportunities for AI/ML solutions. - **Analytics & Business Intelligence** - Lead the development of dashboards, metrics, and decision-support tools. - Foster a culture of data literacy and insight-driven decision-making throughout the organization. - Provide executive-level insights through advanced data analysis and reporting. **Required Qualifications:** - Bachelor's or Master's degree in Computer Science, Statistics, Data Science, Engineering, or related discipline. - Experience in a SaaS or tech environment with subscription-based metrics. - 10+ years of experience in data analytics, data science, or related fields, with 3-5 years in a leadership role. - Strong knowledge of AI/ML concepts, data platforms, and BI tools. - Deep understanding of data governance, data quality, and metadata management. - Demonstrated ability to lead change in a global, fast-paced environment. - Excellent communication and stakeholder management skills. - Knowledge of SaaS metrics, PLG, and usage-based pricing strategies. - Experience with product instrumentation and event tracking platforms. - Experience scaling data teams in a high-growth or startup environment.,