Software Engineer III – AWS Big Data (Wholesale Client Profitability)
JPMorgan Chase · Bengaluru
| Company | JPMorgan Chase |
|---|---|
| Role | Software Engineer III – AWS Big Data (Wholesale Client Profitability) |
| Location | Bengaluru |
| Work mode | On-site |
| Experience | 3–6 years |
| Job type | Full-time |
About this job
JPMorgan Chase is hiring a Software Engineer III in Bengaluru for the Wholesale Client Profitability (WCP) platform in Commercial and Investment Bank Technology. You will design and build cloud, big data and reporting solutions that keep the platform stable and scalable.
The work covers data modelling, cloud data warehouses and BI tools, along with troubleshooting and automating manual processes. You will also use approved AI coding tools and validate their output.
Eligibility
- Formal training or certification in software engineering and 3+ years of applied experience
- Strong big data skills: HDFS, Spark, Impala
- AWS experience with S3, EMR and SQS
- Experience with a reporting tool such as Cognos, Sigma or ThoughtSpot
- Advanced SQL and a good grasp of data modelling
Skills required
What you will do
- Analyse, build, test and support big data and reporting solutions
- Troubleshoot issues and make sure fixes are permanent
- Produce accurate and timely reports and keep documentation current
- Automate manual processes and recurring issues
- Use AI coding tools with peer review and testing
How to apply
- Open the official JPMorgan Chase job page with the Apply button and submit your application there.
- Tailor your resume to Spark and AWS data work you did, reporting tools used and the data volumes involved.
Before the interview, prepare:
- Spark on EMR: cluster sizing, job tuning and cost control
- Impala vs Hive vs Spark SQL: when to use which
- Data modelling for profitability reporting: facts, dimensions and aggregates
- SQS and S3 patterns: decoupling ingestion and handling failures
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