Push the limits of what’s possible with us as an experienced member of our Software Engineering team.
As Data Engineer III - Big Data,Java, Python at JPMorgan Chase, you will join the Financial Planning and Analysis team to design and implement the next generation buildout of a cloud native, Driver based FP & A platform for JPMC. The organization aims to provide comprehensive solutions to managing the firm’s planning, forecasting & budgeting. The program will include strategic buildout of systematic sourcing (data lake), driver-based forecasting models and AI first approach to bring digital first reporting capabilities.
- Design, develop, and maintain scalable data pipelines for ingesting, processing, and transforming large volumes of structured and unstructured data.
- Implement data mining techniques to extract valuable insights from complex data sets.
- Build and optimize data architectures using big data tools and frameworks (e.g., databricks, Spark, Python).
- Ensure data quality, integrity, and security throughout the data lifecycle.
- Collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs.
- Monitor and troubleshoot data pipeline performance and resolve issues as they arise.
- Document data processes, workflows, and best practices.
Required Qualifications, Capabilities, and Skills
- Formal training or certification on software engineering concepts and 3+ years applied experience
- Strong hands-on development experience and in-depth knowledge of Java, Python, Spark, Data bricks & Bigdata related technologies
- Proven experience in building and maintaining data pipelines and ETL processes.
- Strong understanding of infrastructure using terraform.
- Proficiency in SQL and experience with relational and NoSQL databases.
- Experience with data mining, data wrangling, and data transformation techniques.
- Knowledge of data modeling, data warehousing, and data governance best practices.
- Strong problem-solving skills and attention to detail.
- Strong skills on OLAP (cube like) systems. Eg Atoti.
- Excellent communication and collaboration skills.
Preferred Qualifications, Capabilities, and Skills:
- Experience of working in big data solutions with evidence of ability to analyze data to drive solutions
Familiarity with cloud platforms (e.g., AWS) and their big data services is a plus.
