Chase · 4 months ago
Data Engineer, Python, AWS, Databricks
Chase is a leading financial services firm, and they are seeking a Software Engineer III to join their agile team within the Commercial and Investment Bank. The role involves designing and delivering technology products, maintaining data pipelines, and ensuring data quality and reliability to support the firm's business objectives.
BankingFinancial Services
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
Qualification
Required
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 Databricks 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
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
Company
Chase
Chase provides broad range of financial services. It is a sub-organization of JP Morgan Chase.
Funding
Current Stage
Late StageLeadership Team
Recent News
Financial IT
2026-01-09
2026-01-09
2026-01-09
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