2,060 good data lab jobs in India.

... roles, ensuring proper access control and permissions. Data Quality Assurance: Ensure accuracy of imported data, collaborating with QA analysts when required. Data Lifecycle Management: Oversee commissioning and decommissioning of data sets as per project requirements. Confidential Data Handling: Process sensitive and confidential ...

... data quality use cases, and data quality reports for approval by data owners and stewards.- Working closely with the Agile Technology teams (product owners, data engineers and product managers) to ensure successful delivery.- Leading, contributing and collaborating on ways to improve ways of working, identifying gaps across ...

... clear, quantifiable outcomes. Our company is the culmination of several successful firms, each a leader in its own right in cloud, artificial intelligence, and data. This convergence of talent and expertise is how we help businesses reach their own "inflection point," where chaotic data becomes a strategic asset, complexity ...

... business problems, using analytics, experimentation, statistical methods, and machine learning to drive better decisions and measurable outcomes. As a founding Data Scientist for Xometry’s India PDT team , you will also help establish strong data practices, build cross-region trust and collaboration, and foster a culture ...

... semantics across Order-to-Cash, Procure-to-Pay, Record-to-Report, and Plan-to-Produce to ground AI solutions in real enterprise reality. - Work with cloud and data platforms including Databricks, SAP Datasphere, SAP HANA Cloud, AWS, Azure, and GCP to support reliable, scalable AI workflows. - Partner across product, engineering, ...

Data Scientist – Snowflake + Agentic AI / Cortex AI

... compliance. Database & Data Platform Support - Support Oracle databases and enterprise SQL environments. - Perform performance analysis, query optimization, database monitoring, and troubleshooting. - Coordinate with application and data engineering teams during releases and migrations. Middleware & File Transfer Services ...

... ability to work collaboratively with senior engineers and actuarial stakeholders. Exposure to insurance, actuarial, mobility, operational, or risk analytics data. Experience working with GCP, Azure, Power BI, or cloud-to-cloud data ingestion patterns. Understanding of access controls, workspace permissions, data retention, ...

... technologies from the plethora of options available. - You will develop data models by selecting from a variety of modeling techniques and implementing the chosen data model using the appropriate technology stack. - You will collaborate with the team on the areas of data governance, data security and data privacy. - You will ...

... Excelya, where Audacity, Care, and Energy define who we are and how we work. We believe in creating bold solutions and fostering an inclusive environment where collaboration and individual growth go hand in hand. This role is an exciting opportunity to contribute to a dynamic, ambitious team in Data Management. You will play ...

... responsible for coordinating and executing data management activities of a clinical trial. Responsibilities include supporting the development and maintenance of data management documentation, performing data quality and validation checks, reviewing and verifying data management deliverables, and collaborating with internal ...

... Engineer to design, develop, and optimize scalable data pipelines and cloud-based data solutions on Google Cloud Platform. The ideal candidate should have strong hands-on experience in GCP Data Engineering, BigQuery, Dataflow, Dataproc, Python/PySpark, and SQL , along with good knowledge of data warehousing and ETL processes.

... not only to help you reach your potential, but also to contribute to our clients' success. The Enterprise Data Platforms team designs and delivers secure, scalable, cloud-native technology solutions that support critical business capabilities. The team brings together software engineers, architects, data specialists, and ...

... redefine the future of how work gets done. Senior Data Engineer At Snowflake, we are building the future of the data-driven enterprise. We are looking for a Senior Data Engineer who brings deep technical craft, strong ownership instincts, and the ability to operate across the full data lifecycle — from raw ingestion to production-ready ...

... management. This role involves working with confidential data, training end-users, and contributing to data integrity efforts. Roles & Responsibilities: Manage master data, including its creation, updates, and deletion. Manage users and user roles within data systems. Provide quality assurance of imported data , collaborating with ...

... veteran status, etc., We consider all applications based on merit and suitability to the role.” Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website. ***Issued By HSBC Electronic Data Processing (India) Private LTD***

... technologies. - Build and optimize scalable data pipelines using Pyspark, Azure Databricks, and Azure Data Factory. - Develop robust data models and maintain data storage solutions using Azure SQL and Parquet. - Ensure data quality, security, and compliance while managing data governance initiatives. - Collaborate with ...

... Previous experience in interacting with senior management and architects during client engagements Familiarity with Archimate, BMPN, DMN, UML is a plus Experience in data controls like data assurance and data quality Proficiency in collaboration tools like Confluence and JIRA Should have good banking domain knowledge.

... DataStage, Informatica, Spark or related . ➢ Experience with other languages and concepts: .NET, C#, Python, R, Java, HTML, SSRS, AWS, Azure, Spark, REST APIs, Big Data, ETL, Data Pipelines, Data Modelling, Data Analytics, BI, Data Warehouse, Data Lake or related. ➢ Strong familiarity with EDC Systems: Rave, Trial Master, InForm, ...

... complex data pipelines for anomalies, schema changes, and integrity issues, ensuring high availability and reliability. - Define, document, and enforce global data quality standards, validation rules, and SLAs across the data ecosystem. - Lead collaboration with engineering teams to ensure accurate and scalable instrumentation ...