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

As a Lead Software Engineer at JPMorgan Chase within the Securities Services Technology, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting 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 ETL processes (using Python, AWS) to support data integration and data warehousing solutions. Collaborate with data architects, data analysts, and business stakeholders to understand data requirements and translate them into technical specifications. Optimize and tune ETL processes (using Python, AWS) for performance and scalability. Ensure data quality and integrity through rigorous testing and validation procedures. Monitor and troubleshoot ETL processes to resolve issues and ensure timely data availability. Develop and maintain documentation for ETL processes, data flows, and data models. Mentor and provide guidance to junior ETL engineers and data team members. Stay current with industry trends and best practices in data engineering and ETL technologies.

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 5+ years of applied experience Hands-on practical experience in ETL development (using Python, AWS) and data engineering Preferred experience with Apache Spark Strong SQL skills and experience with relational databases (e.g., Oracle, SQL Server, MySQL) Good Debugging and Optimization Capabilities Understanding of different data formats like CSV, Parquet and ORC and data sources like HDFS, S3, SFTP, Apache Iceberg etc Proficient in all aspects of the Software Development Life Cycle Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Familiarity with other programming languages such as Java or Scala Experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services Preferred qualifications, capabilities, and skills Experience with big data technologies (e.g., Hadoop). Knowledge of data governance and data security best practices. Experience with real-time data processing and streaming technologies (e.g., Kafka, Flink).