Data Engineer III - Analytics Engineer (Databricks)

JPMorgan Chase & Co.; Mumbai; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

JPMorgan Chase & Co. in Mumbai is seeking an Analytics Engineer Senior Associate to advance the RM&C analytics engineering roadmap, enabling cloud-native BI and analytics. You will build and maintain ETL pipelines, contribute to schema design, and deliver high-impact dashboards and self-service analytics for business teams.

Databricks is the primary platform, spanning ingestion to governed semantic models. You will work with Delta Lake, Unity Catalog, DLT, and BI tools like Tableau and Sigma,

Qualifications

• Degree in Computer Science, Information Systems, Data Engineering, or related field.
• 5+ years of data engineering, analytics engineering, or BI experience in regulated environments.
• Strong SQL and production-grade Python/PySpark skills for ETL pipelines.
• Excellent communication with non-technical stakeholders to gather requirements.
• Hands-on Databricks experience for building pipelines on the platform.
• Experience with self-service analytics, semantic layers, and governed data models.
• Familiarity with Git and IT governance tools.

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 data products into the Lakehouse; use Alteryx/Prophecy as feeders.
• Implement a governed self-service layer in Databricks SQL with semantic models and controlled exposure for business users.
• Ensure data governance in partnership with data product owners and data architects, including cataloging and entitlements.
• Communicate with non-technical stakeholders; translate data into actionable narratives.
• Deliver executive-ready dashboards and self-service analytics in Tableau and Sigma on Databricks data.
• Utilize AI tooling like GitHub Copilot to accelerate development while ensuring ownership and documented outputs.

Skills

SQL fluency

Python

PySpark

Communication

Stakeholder engagement

Education

Degree in Computer Science / Information Systems / Data Engineering

Tools

Databricks

Alteryx

Prophecy

Tableau

Sigma

Git

ServiceNow

Job description

Bring your expertise to JPMorgan Chase. As part of Risk Management and Compliance (RM&C), you are at the center of keeping JPMorgan Chase strong and resilient.

As an Analytics Engineer Senior Associate at JPMorgan Chase within the RM&C Data Analytics & Intelligent Automation team, you’ll support our analytics engineering roadmap to enable cloud-native BI and analytics. You will consume JPMC’s data products, build and maintain integration/collation pipelines using appropriate ETL tooling, contribute to schema design, and produce high-impact dashboards and self-service analytics products that business teams trust and use.

Databricks is the primary platform. You will work across the Lakehouse stack—from ingestion through governed semantic models and self-service consumption—leveraging Delta Lake, Unity Catalog, Delta Live Tables (DLT), Databricks SQL, and Databricks Genie, with tools such as Alteryx, Prophecy, Snowflake, Tableau, and Sigma as part of the overall ecosystem.

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.