Lead Software Engineer – PySpark, AWS, Python
JPMorgan Chase · Pune
| Company | JPMorgan Chase |
|---|---|
| Role | Lead Software Engineer – PySpark, AWS, Python |
| Location | Pune |
| Work mode | On-site |
| Experience | 3–6 years |
| Job type | Full-time |
About this job
JPMorgan Chase is hiring a Lead Software Engineer in Pune for Consumer and Community Banking. The role leads the design and upkeep of cloud data processing pipelines and data models for very large datasets.
You will turn business needs into data engineering solutions, drive data quality and governance, and approve technical designs. You will also lead design workshops and set good practice for AI-assisted engineering.
Eligibility
- Formal training or certification in software engineering and 5+ years of applied experience
- Expert in Spark and a cloud lakehouse such as AWS data lake or Databricks
- Expert in an orchestrator such as Airflow or AWS Step Functions
- Strong Python and SQL plus Java or Scala
- Experience with Kafka or MQ, Docker, Kubernetes and data modelling
Skills required
What you will do
- Lead design and maintenance of scalable cloud data pipelines
- Design data models for large datasets for fast retrieval and analytics
- Drive data quality, access and governance compliance
- Review and approve technical requirements and designs
- Lead design workshops and coding sessions for the team
How to apply
- Open the official JPMorgan Chase job page with the Apply button and submit your application there.
- Tailor your resume to Spark pipelines you built, data volumes, orchestration tools used and data models you designed.
Before the interview, prepare:
- Spark tuning: partitions, shuffles, skew, broadcast joins and caching
- Table formats: Parquet vs Iceberg and handling schema evolution
- Data modelling: Kimball vs Data Vault and when to use each
- Orchestration: Airflow DAG design, backfills and failure handling
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