4,546 master data specialist jobs in India.

... patterns, and opportunities for improvement. Working closely with stakeholders across functions, you ensure data accuracy. Collect, clean, validate, and analyse data from multiple sources. - Use Python or R for data analysis, data manipulation, and automation. - Write SQL queries to extract, filter, and manipulate data. - ...

... resolve performance bottlenecks in data pipelines and queries, ensuring optimal data flow and accessibility. • Data Governance & Quality: Implement and enforce data governance best practices, ensuring data quality, integrity, security, and compliance. • Collaboration: Work closely with data scientists, data analysts, and ...

... align with enterprise data governance and master data management https://jobeax.com/link/iBSKyc7607ukrYcH Skills & Experience : - 8 - 12 years of experience in Data Architecture, Data Engineering, or a closely related discipline.- Strong experience designing enterprise data models and data architectures.- Hands-on experience ...

... deployment. Prepare user training documents and related frameworks to ensure smooth adoption new applications and minimize transition risks. Mandatory Skills: DataBricks - Data Engineering. Experience: 5-8 Years. Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with ...

... Informatica and Databricks. - Build and maintain enterprise data integration frameworks supporting analytics and reporting requirements. - Develop cloud-native data solutions using Azure cloud services and modern data architectures. - Create and optimize data models to support business intelligence analytics and operational ...

... data solutions. The ideal candidate will possess strong expertise in Oracle SQL Python PySpark and Apache Spark along with extensive experience in enterprise data platforms data integration and modernization this role you will be responsible for designing and optimizing data pipelines enabling large-scale data processing ...

... into actionable insights and reporting solutions. 4. Data Governance Quality & Security - Define data governance data quality metadata management lineage and master/reference data standards. - Implement appropriate data access controls role-based security masking encryption and compliance controls. - Establish data validation ...

... technical support for data-related issues Conduct data quality checks and audits Assist in the development of data governance frameworks Design develop and maintain data pipelines and ETL processes Implement and maintain data warehouses and data lakes Ensure data quality and integrity across all data sources Optimize data storage ...

Purpose of Job We are looking for a Senior Data Engineer who is equally strong on the data side (modelling data quality SQL understanding the business) and the engineering side (Python PySpark CI/CD performance reliability). You will own the design and delivery of production data platforms from requirements to production ...

... governance and cost efficiency. - Configure and manage Microsoft Purview for data governance, classification, lineage, cataloging and compliance management. Metadata Management, Data Catalog - Establish master data management (MDM) and reference data management standards. - Drive data stewardship and governance adoption across ...

... advantage. - Strong analytical and problem-solving skills, with attention to detail. - Clear communication and collaboration skills across business, technical and global teams. - Bachelor’s, master’s or engineering degree in computer science, IT, data engineering or a related field. - Good written and spoken English. []

... align with enterprise data governance and master data management https://jobeax.com/link/iBSKyc7607ukrYcH Skills & Experience : - 8 - 12 years of experience in Data Architecture, Data Engineering, or a closely related discipline.- Strong experience designing enterprise data models and data architectures.- Hands-on experience ...

... values digital expertise and rewards initiative. Be part of a forward-thinking organization where your skills set the pace for operational success. As a Client Data Specialist within the Operations team, you will be responsible for reviewing and improving data collection and verification processes, ensuring the accuracy and ...

... values digital expertise and rewards initiative. Be part of a forward-thinking organization where your skills set the pace for operational success. As a Client Data Specialist within the Operations team, you will be responsible for reviewing and improving data collection and verification processes, ensuring the accuracy and ...

... teams to integrate predictive models into live production environments, ensuring low-latency performance and high reliability.- Conduct deep-dive exploratory data analysis on large-scale financial datasets to uncover hidden patterns that drive product strategy and business growth.- Partner with stakeholders to define key ...

... Accountabilities and Responsibilities (e.g., for Business, Customers and Stakeholders; internal control environment, etc.) - Having profound knowledge of reference data (Instrument) provided by market data vendors (Bloomberg, LSEG, ICE, Six Telcurs) - Initiate and then implement high-impact quality projects leading to operational ...

... documentation meets regulatory compliance and operational standards through systematic verification and audit-readiness assessment. Responsibilities - Review laboratory data packages for accuracy, completeness, and procedural compliance - Verify calculations, transcriptions, and data entries; confirm results match raw data - Conduct ...

... or equivalent platforms is highly desirable. - Strong understanding of distributed data processing and large-scale data systems. - Experience designing APIs/data integration solutions and working with enterprise applications. - Understanding of data governance, data quality, security, metadata management, and master data ...

... algorithm results and insights to stakeholders - Communicate complex analytical concepts effectively to audiences at all organizational levels through clear, data-driven storytelling Technical Responsibilities: - Perform comprehensive data exploration, preprocessing, data transformation, validation, reconciliation, feature ...

... least one dynamic language and SQL, a good business mindset, and data analysis competencies In this role you will: - Data Integration: Automate ingestion of data from multiple sources (e.g., Google Sheets, APIs, internal systems) into BigQuery - Database Management: Design, build, and maintain scalable data pipelines and ...