Senior Data Engineer responsible for migrating and modernising data platforms in banking. Rebuilding critical data platform with a focus on risk and core financial data flows.
About the role
- Principal Data Engineer designing, building, and maintaining data pipelines for finance analytics at Northrop Grumman. Collaborating with engineers and finance analysts to ensure data accuracy and availability.
Responsibilities
- Design and deploy production‑grade data pipelines using Python/PySpark and SQL in Databricks
- Build and sustain data pipeline processes from SAP ERP and other financial reporting systems
- Convert high‑level design specs into physical, dimensional data models optimized for finance analytics
- Proactively monitor pipeline health, troubleshoot production issues, and implement fixes to guarantee high data availability
- Collaborate with senior engineers, finance analysts, and business partners to understand analytical needs
- Enforce data‑quality standards, security controls, and governance best practices
Requirements
- Master's degree or Bachelor's degree in Engineering, Computer Science, Software Engineering, or a similar related technical discipline
- 4 years of hands‑on data‑engineering experience
- 1 year focused on finance‑domain data analytics solutions
- Proven experience extracting and integrating data from SAP ERP
- Experience with SQL and Python for data manipulation and transformation
- Experience with Databricks or equivalent (example: Snowflake)
Benefits
- Health insurance coverage
- Life and disability insurance
- Savings plan
- Company paid holidays
- Paid time off (PTO) for vacation and/or personal business
- 9/80 work schedule
- 401k matching program
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