8,835 data engineer internship jobs in India.

GCP Data Engineer- Location : Bangalore Experience : +6yrs About the Role We are looking for an experienced GCP Data 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, ...

Data Scientist – Snowflake + Agentic AI / Cortex AI

Purpose :This function supports the protection of patient privacy when clinical trial data is shared https://jobeax.com/link/l1hgfOb58lWIGmQb use cases :- Regulatory submissions.- Data sharing with researchers.- Health authority requests.- External collaborations.- Clinical trial transparency https://jobeax.com/link/2TEP4zJ4nBtcNfEZ ...

Role Overview:As a Data Scientist, you will be instrumental in transforming complex immigration data into actionable insights and predictive models that enhance our services and operational efficiency. You will collaborate closely with product managers, engineering teams, and business operations to identify opportunities ...

... Work as an Individual Contributor on new and existing projects with a positive, problem-solving https://jobeax.com/link/rCyzW0NBvdP0uFXm Candidate :- Strong Data Scientist / AI Engineer / Generative AI Engineer profile.- 3+ years of hands-on experience in Data Science, Artificial Intelligence, Machine Learning, Deep Learning, ...

... security, and business teams to translate institutional and regulatory requirements into platform https://jobeax.com/link/5XIeZSJARHNsfjCE Skills :- 7+ years in data engineering or data platform roles, including experience leading a team and owning a platform in production.- Hands-on depth in modern data architecture, including ...

... the development of system enhancements. - Work closely with Data Engineering, Product, Accounting, and Tax team members to investigate root causes, validate data fixes, improve reporting logic, and strengthen tax data controls. - Support indirect tax filing preparation by organizing filing data, validating reports, reviewing ...

... cross-functional teams to transform complex data into meaningful reports and recommendations. The Data Analyst will be responsible for collecting, cleaning, and analyzing data from multiple sources to identify trends and opportunities. Responsibilities Collect, clean, and analyze data from multiple sources to identify trends and opportunities. ...

... of model building Advocating application of best practices in data engineering, code hygiene, and code reviews Leading the development of proprietary data engineering, assets, ML algorithms, and analytical tools on varied projects Working with partners and principals to shape proposals that showcase our data engineering ...

... requirements. Identify and correct data inconsistencies and anomalies. Use data labelling tools such as Labelbox, Supervisely, Scale AI, or similar platforms. Data Quality Assurance: Conduct quality checks on labelled data to ensure adherence to project standards. Work closely with data scientists, engineers, and product ...

... monitoring. Drive project-management rigor — dependency management, risk escalation, and stakeholder reporting. Collaborate with data engineers and IT teams to ensure data availability, quality, and reliability for analysis and modelling. Expertise in programming languages such as Python or R for data manipulation, analysis, and ...

... transformation.- Define technology roadmaps, reference architectures, architecture principles, and standards for Data & AI platforms.- Drive modernization of existing data and analytics ecosystems to support AI-driven business capabilities.- Collaborate with engineering, data science, cloud, cybersecurity, and product teams to translate ...

Data Science Lead

... networks to enable machines to learn from data and make decisions. Employees who excel in this skill have specialized abilities in mathematics, programming, and data analysis, making them highly coveted in the tech industry. Data Engineering - Ability to design, build, and maintain infrastructure for data collection, transformation, ...

... transformation.- Define technology roadmaps, reference architectures, architecture principles, and standards for Data & AI platforms.- Drive modernization of existing data and analytics ecosystems to support AI-driven business capabilities.- Collaborate with engineering, data science, cloud, cybersecurity, and product teams to translate ...

... consulting environment. - Proven analytic experiences and problem-solving skills (Master’s degree with a major in a related field of quantitative science e.g., engineering, computer/data science, statistics, mathematics, etc.) - Senior Analyst: Master’s degree plus 1-2 years of relevant work experience or PhD’s degree - Demonstrated ...

Job Responsibilities Data Governance professional with experience in: Data Governance & Stewardship Collibra SQL Customer Master Data (HCP, HCO, Affiliations, Organizations, Addresses, Territories & Sales Alignment) Data Quality, Validation, Deduplication & Enrichment Metadata Management, Data Lineage, Business Glossary ...

... code, including lint gates, automated testing, and deployment to shared NAS. • Perform peer code reviews and provide constructive technical feedback to fellow engineers. • Troubleshoot performance issues and data discrepancies during SIT and UAT, including row-count reconciliation between source Oracle/SQL Server systems and ...

... with Research and Modeling teams, with a primary mandate on engineering, data quality, scalability, and production readiness. We are seeking a self-motivated Data Engineer to build and enhance our Scalable Data Platform, delivering curated historical datasets at security, index constituent, and portfolio levels to support ...

Responsible for conducting data analysis to extract actionable insights, exploring datasets to uncover patterns and anomalies, analyzing historical data for trend identification and forecasting, investigating data discrepancies, providing user training and support on data analysis tools, communicating findings through compelling ...