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 Lead Software Engineer at JPMorgan Chase within the AI/ML & Data Platform team, 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..
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Practical experience in ETL development using Python and AWS, with a focus on data engineering.
- Proficient in debugging, optimization, and understanding various data formats (CSV, Parquet, ORC) and sources (HDFS, S3, SFTP, Apache Iceberg).
- Expertise in the Software Development Life Cycle and advanced knowledge of agile methodologies, including CI/CD, application resiliency, and security.
- Familiarity with programming languages such as Java or Scala.
- Experience with cloud platforms like AWS, Azure, or GCP and their data services
Preferred qualifications, capabilities, and skills
- Familiar with big data technologies (e.g., Hadoop).
- Preferred experience with Apache Spark and strong SQL skills for relational databases like Oracle, SQL Server, and MySQL.
- Data governance and data security best practices.
- Familiar with real-time data processing and streaming technologies (e.g., Kafka, Flink).
Top Skills
What the Team is Saying
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands.
Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products.
Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com.
©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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JPMorganChase Teams
JPMorganChase Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
