Data Engineer III - Analytics Engineer (Databricks)
JPMorgan Chase & Co. (company site, opens in a new tab)5+ yrsMumbaiOn-siteDirect career pageEst. 25–40 LPA
Posted 16d ago
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Job description
Structured overview of role & requirements
About This Role
- Build and maintain end-to-end data pipelines on Databricks using Delta Lake, Delta Live Tables, and Unity Catalog with full governance and access control.
- Develop a governed self-service analytics layer with curated semantic models and dashboards using Databricks SQL, Tableau, and Sigma for business teams.
- Collaborate with data product owners and architects to ensure data governance, lineage, and secure access while communicating technical insights to non-technical stakeholders.
Minimum Requirements
- Bachelor's degree or certification in Computer Science, Information Systems, Data Engineering, or related field.
- 5+ years of experience in data engineering, analytics engineering, or business intelligence within complex regulated environments.
- Hands-on experience designing, writing, testing, and maintaining ETL pipelines using Python, PySpark, and strong SQL skills.
- Proven experience with Databricks platform and self-service analytics including semantic layers and governed virtualization.
Ideal Candidate Profile
- Experienced in working within controlled, regulated environments requiring change management and access controls.
- Skilled at independently managing pipeline development with strong communication to gather business requirements and support BI adoption.
- Familiarity or ability to quickly adapt to risk management, compliance, finance or audit domains preferred but not mandatory.