Data Engineer, Python, AWS, Databricks

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Software Engineer III at JPMorgan Chase within the Commercial and Investment Bank, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way.

You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.

Job Responsibilities


* Design, develop, and maintain scalable data pipelines and ETL processes to support data integration and analytics.


* Frequently utilizes SQL and understands NoSQL databases and their niche in the marketplace


* Implement best practices for data engineering, ensuring data quality, reliability, and performance


* Contribute to data modernization efforts by leveraging cloud solutions and optimizing data processing workflows


* Perform data extraction and implement complex data transformation logic to meet business requirements


* Monitor and executes data quality checks to proactively identify and address anomalies


* Ensure data availability and accuracy for analytical purposes


* Identify opportunities for process automation within data engineering workflows


* Deploy and manage containerized applications using Amazon ECS ( Kubernetes EKS) .


* Implement data orchestration and workflow automation using AWS step , Event Bridge


* Use Terraform for infrastructure provisioning and management, ensuring a robust and scalable data infrastructure.

Required qualifications, capabilities, and skills


* Formal training or certification on Software / Data Engineering concepts and 3+ years applied experience


* Experience across the data lifecycle


* Experience working with modern Lakehouse : Databricks , Glue )


* Proficient in SQL coding (e.g., joins and aggregations)


* Experience in Micro service based component using ECS or EKS


* Experience in building and optimizing data pipelines, architectures, and data sets ( Glue or Data bricks etl)


* Proficient in object-oriented and object function scripting languages (Python etc.)


* Experience in developing ETL process and workflows for streaming data from heterogeneous data sources ( Kafka)


* Experience building Pipeline on AWS using Terraform and using CI/CD pipelines

Preferred qualifications, capabilities, and skills


* Advanced knowledge of RDBMS like Aurora , Open Search


* Experience with data pipeline and workflow management tools (Airflow, etc.)


* Strong analytical and problem-solving skills, with attention to detail.


* Ability to work independently and collaboratively in a team environment.


* A proactive approach to learning and adapting to new technologies and methodologies.

JPMorganChase, one of the oldest financial institutions, offers innova...