4,318 master data specialist jobs in India.

... through deployment, monitoring, and continuous improvement - Collaborate with data engineers and ML engineers; provide technical guidance and mentoring to junior data scientists Requirements - Bachelor's degree with 7+ years experience, or Master's degree with 5+ years, in Operations Research, Data Science, Applied Mathematics, ...

We are looking for a Data Engineer with strong Databricks and GCP experience to develop scalable ETL/ELT pipelines and productionize agentic workflows for data engineering automation. The mandatory requirements are 5+ years of experience with Databricks and PySpark, advanced SQL, hands-on GCP experience, and experience ...

... https://jobeax.com/link/OBSYxKmspgkYWOcn Responsibilities : - Design, build, test and deploy scalable and reusable systems that handle large amounts of data.- Collaborate with product owners and data scientists to build new data products.- Ensure data quality and https://jobeax.com/link/ZxjpPrDBru7W4ePm Skills : - Experience designing and managing data flows.- ...

Labcorp seeks an experienced Manager of Data Management in Bengaluru to lead a clinical data management team supporting global research programs. The role combines people leadership, operational oversight, and stakeholder management within a fast-paced, regulated environment. Responsibilities - Lead, coach, and develop ...

... technologies like Databricks and Python (Rookie level) Accountabilities: - Provide ad-hoc analysis support on underlying data by working closely with Business SME and Data SME - Act as a SPOC for selected reporting solutions and assist various departments on ad-hoc requests of retrieving and organizing data into required reporting ...

... for rules, validation logic and monitoring processes. Requirements: - Experience in data quality, data analytics or data management roles. - Strong SQL skills (joins, aggregations, query optimization); basic to intermediate Python. - Hands-on experience with ETL pipelines and a data warehouse, data lake or Databricks. []

... insights, establish robust KPI frameworks, and mentor junior team members while fostering a data-driven culture across the organization. - Use Python or R for data analysis, data manipulation, and automation. - Write SQL queries to extract, filter, and manipulate data. - Develop interactive dashboards and reports using Power ...

... - Advanced Analytics: Expertise in Microsoft Excel (Pivot Tables, Power Query, XLOOKUP, SUMPRODUCT), MS access and data visualization tools like Power BI. - Data Lifecycle Knowledge: Proven experience in data profiling, Master Data Management (MDM), data cleansing, and complex data migrations. - Analytical Mindset: Strong ...

... and the discipline to work through large datasets at pace. You will receive a starter pack and training covering our data screening procedures, the critical data points for each Kobo form, common error scenarios and the corrective actions for partners. RESPONSIBILITIES Data verification Assessing data: Analyzing all Kobo ...

... using GitHub - Support finance and operations teams with Excel-based models, pivot analyses, and ad hoc data requests - Assist in building ETL pipelines and data transformation workflows - Prepare executive-level Business Review (MIS) reports - monthly, quarterly, and annual - Ensure data privacy compliance in line with ...

... applications, and processes as business needs evolve. Key Responsibilities · Access the designated web-based application and identify card records requiring a data refresh. · Manually refresh card information to trigger the API process responsible for updating card-detail data. · Process incoming card-update requests accurately ...

... collaboration. Our employees work in our offices Monday through Thursday each week, with the option to work remotely or from the office on Fridays. The Senior Data Coordinator will serve as the day-to-day lead for a team of Data Specialists supporting strategic data, technology, and operational initiatives across Lincoln ...

... decision-making. Requirements What We’re Looking For Key Responsibilities - AWS Data Infrastructure: Design, deploy, and maintain highly available and scalable data platforms utilizing AWS-native services. - Data Security & DevSecOps: Embed security guardrails directly into the data lifecycle. Manage encryption, data masking, ...

... Big Data, Cloud, and Data Engineering to ensure up-to-date training and consulting practices. Requirements Required Skills & Qualifications - Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field . - 2–3 years of experience in Data Science, Data Engineering, or AI ...

... are looking for a Senior Software Engineer (SSE) – Data Engineer with strong expertise in Azure data engineering, cloud-based data platforms, and large-scale data processing. The ideal candidate should have hands-on experience designing, developing, and optimizing ETL/ELT pipelines, implementing data lake and data warehouse ...

... Services team to support the enterprise data platform of one of India's largest financial institutions. The platform spans Cloudera on AWS, an on-premises Oracle data warehouse, Oracle GoldenGate replication, Apache Spark and Alation for data governance. Role summary Protect the enterprise data platform by managing access, ...

... Docker and containerized services. - Familiarity with data governance, lineage, metadata management, and data observability. - Experience designing multi-tenant data platforms and reusable integration frameworks. - Experience supporting analytics, reporting, and AI/ML data workloads. Qualifications Bachelor’s or Master’s degree ...

... troubleshooting capability Extensive experience with ETL concepts & technologies, Data migration testing, Data warehouse testing, and BI Reporting Extensive experience in data automation using Python High level of Proficiency in writing complex SQL queries in Azure Databricks from Business requirements to read data from source DB hosted ...

... decision-making. Requirements What We’re Looking For Key Responsibilities - AWS Data Infrastructure: Design, deploy, and maintain highly available and scalable data platforms utilizing AWS-native services. - Data Security & DevSecOps: Embed security guardrails directly into the data lifecycle. Manage encryption, data masking, ...

... large-scale data systems. - Strong proficiency in SQL for data manipulation and Python for data pipeline development. - Hands-on experience building and operating data pipelines in a cloud environment (AWS preferred). - Hands-on experience with the modern data stack, specifically: - Data Warehousing: Snowflake - Data Transformation: ...