JOB DESCRIPTIONWe have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As a Software Engineer III at JPMorganChase within the Consumer and community banking, 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
- Work with large-scale datasets, performing advanced queries and calculations to extract, transform, and analyze data.
- Design, develop, and optimize ETL pipelines using AWS Glue, PySpark, and Databricks.
- Link and integrate processed data to downstream tables and systems via AWS Glue workflows.
- Integrate AI/ML models (SageMaker or custom) into data workflows and production pipelines.
- Utilize AWS services including S3, Lambda, Redshift, Athena, Step Functions, MSK, EKS, and Data Lake architectures.
- Design and implement scalable data models, data warehousing, and data lake solutions.
- Collaborate with data scientists, engineers, and business stakeholders to deliver high-quality data solutions.
- Use version control (Git) and CI/CD pipelines for efficient development and deployment.
- Leverage AI agents and tools (e.g., Co-Pilot) to enhance productivity, code quality, and problem-solving.
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 3+ years applied experience
- Hands-on experience with AWS Glue (ETL jobs, crawlers, workflows), including linking data to downstream tables.
- Advanced skills in writing and optimizing queries and calculations on large datasets.
- Experience with PySpark and distributed data processing & Strong programming skills in Python.
- Familiarity with AWS services: S3, Lambda, Redis, Athena, Step Functions.
- Experience with version control (Git) and CI/CD pipelines.
- Hands-on experience with AWS services and cloud-based data solutions & Strong hands-on coding capabilities in languages/platforms such as PySpark/Python/Databricks.
- Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.).
- Ability to leverage AI agents and tools, such as Co-Pilot, to enhance productivity and code quality.
Preferred qualifications, capabilities, and skills
- UI/UX – React
- Proficiency in all other AWS components - preferably AWS certified.
- Experience integrating AI/ML models (SageMaker or custom models) into data pipelines is a plus.
ABOUT US
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