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Data Engineer III - Analytics Engineer (Databricks)

JPMorgan Chase
Mumbai, IND
Full-time
Senior · 5+ years experience
Onsite
Discovered 4 weeks ago
DatabricksDelta LakeUnity CatalogDelta Live Tables (DLT)Databricks SQLDatabricks Genie

Full Job Posting

Job Responsibilities

  • Develop end-to-end pipelines on Databricks using DLT, Delta Lake, and Unity Catalog for governance, lineage, and access controls.
  • Build ingestion/integration pipelines in Python/PySpark, consuming JPMC’s data products into the Lakehouse; use Alteryx/Prophecy as feeder tools where appropriate.
  • Implement a governed self-service layer in Databricks SQL—curated semantic models, intuitive views, and controlled exposure—to enable independent exploration by business teams.
  • Ensure proper data governance in partnership with data product owners and data architects, including cataloging, lineage, ownership, and entitlements.
  • Communicate clearly with non-technical stakeholders; turn data into actionable narratives and decisions.
  • Deliver executive-ready dashboards and self-service analytics in Tableau and/or Sigma on Databricks-served data.
  • Use AI tooling, such as GitHub Copilot, to accelerate development while maintaining independent technical ownership and validating all AI-generated code/documentation.

Required Qualifications, Capabilities and Skills

  • Degree or certification in Computer Science, Information Systems, Data Engineering, or a related discipline.
  • 5+ of applied experience in data engineering, analytics engineering, or business intelligence in a complex, regulated environment.
  • Hands-on ability to design, write, test, and maintain ETL pipelines independently, with strong SQL fluency and production-grade Python, PySpark experience.
  • Strong communication skills and a customer-centric mindset, with the ability to engage business users to gather and clarify requirements and support adoption.
  • Experience with Databricks, including building and executing pipelines on the platform.
  • Experience with self-service analytics platforms, including working knowledge of semantic layers, BI data models, and governed virtualization for non-technical users.
  • Comfort operating in a controlled environment, including change management and access control, with working knowledge of Git, Jules, and ServiceNow.

Preferred Qualifications, Capabilities and Skills

  • Hands-on experience with Alteryx and Prophecy for ETL pipeline development.
  • Familiarity with AWS cloud environments supporting data workloads.
  • Prior experience in Risk Management, Compliance, Finance, or Audit, or demonstrated ability to rapidly develop fluency in risk and regulatory subject matter.

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