Software Engineer III-ETL, AWS, AI Software Engineer

United States Digital Space LLC; Maharashtra; On-site; INR 11,418,000 - 17,127,000; Full time

Job summary

JPMorgan Chase is seeking a Software Engineer within the Consumer and Community Banking – J.P. Morgan Wealth Management organization. You will join an agile team that designs, builds, and delivers trusted, scalable technology products in a secure environment.

The role emphasizes end-to-end ETL/ELT pipelines on AWS, data lakehouse architecture, and robust production code with a focus on reliability and security. Collaboration across teams and leadership in technical initiatives are expected.

Qualifications

• Formal training or certification on software engineering concepts.
• 5+ years of applied software engineering experience.
• Experience designing end-to-end ETL/ELT pipelines on AWS.
• Experience with data lakes/lakehouses and Parquet/ORC formats.
• Ability to optimize Spark jobs and monitor performance.

Responsibilities

• Executes software solutions with ability to tackle non-routine problems.
• Develops secure, high-quality production code and reviews teammates’ changes.
• Automates remediation of recurring issues to improve stability.
• Leads evaluation sessions with vendors and internal teams on architecture.
• Drives communities of practice and promotes modern tech usage.
• Contributes to an inclusive, diverse team culture.

Skills

ETL pipelines

PySpark

AWS Glue

Spark optimization

Airflow MWAA

Data lake/lakehouse

CI/CD

Terraform / AWS CDK

Tools

AWS Glue (PySpark)

EMR/EMR Serverless

S3 / Parquet

Glue Data Catalog

CloudWatch / Spark UI

Airflow MWAA

Terraform / AWS CDK

Job description

JOB DESCRIPTION

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Software Engineer at JPMorgan Chase within the Consumer and Community Banking – J.P. Morgan Wealth Management organization, you are an integral part of an agile team that designs, enhances, builds, and delivers trusted, market‑leading technology products in a secure, stable, and scalable manner.

Job responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems


• Develops secure high-quality production code, and reviews and debugs code written by others


• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems


• Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes‑oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture


• Leads communities of practice across Software Engineering to drive awareness and use of new and leading‑edge technologies


• Adds to team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience


• Design and implement end-to-end ETL/ELT pipelines on AWS using AWS Glue (PySpark) and/or EMR/EMR Serverless.


• Build and maintain data lakes/lakehouses on Amazon S3 using columnar formats (Parquet/ORC) with effective partitioning, compaction, and schema evolution via Glue Data Catalog.


• Optimize Spark jobs using best practices (predicate pushdown, broadcast joins, AQE, file sizing, caching) and monitor performance with CloudWatch and Spark UI.


• Implement data quality checks and observability , SLAs/SLOs, and lineage/metadata practices \& y, scalability, and cost; produce clear documentation and runbooks \& Orchestrate workflows with AWS Step Functions and/or Airflow (MWAA), including error handling, retries, and idempotency.


• Enforce security and compliance: IAM least-privilege, KMS encryption, VPC endpoints/private networking, Secrets Manager/Parameter Store, Lake Formation access controls.


• Collaborate on data modeling (dimensional/star, data vault, wide tables) and interface contracts for analytics, ML features, and downstream services.


• Participate in architectural reviews, propose improvements for reliability, scalability, and cost; produce clear documentation and runbooks \& Drive CI/CD for data code , infrastructure as code (Terraform or AWS CDK), and automated deployments.

ABOUT US