Senior Analytics Engineer - Data Engineering

JP Morgan Services India Pvt Ltd; Mumbai; On-site; INR 4,800,000 - 6,800,000; Full time

Job summary

JP Morgan Services India Pvt Ltd seeks a Senior Data Engineer to build end-to-end Databricks pipelines and governance models in a regulated environment. You will deliver self-service analytics, dashboards, and data products while ensuring data ownership and security.

The role requires strong SQL and PySpark skills, Databricks expertise, and the ability to collaborate with data product owners, architects, and business users across risk and finance domains.

Qualifications

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

Responsibilities

• Develop end-to-end pipelines on Databricks using DLT, Delta Lake, and Unity Catalog.
• Build ingestion pipelines in Python/PySpark to bring data products into the Lakehouse.
• Implement a governed self-service layer in Databricks SQL for independent exploration by business teams.
• Ensure data governance with cataloging, lineage, ownership, and entitlements.
• Deliver executive-ready dashboards in Tableau and/or Sigma on Databricks-served data.
• Communicate with non-technical stakeholders and translate data into actionable insights.
• Leverage AI tooling to accelerate development while maintaining ownership and code integrity.

Skills

Data Engineering

PySpark

SQL

Databricks

Communication

Stakeholder Management

Education

Bachelor's or higher in Computer Science or related field

Tools

Databricks

Git

Tableau

Sigma

Alteryx

Prophecy

Jules

Job description

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.

Experience Level Senior Level