Data Engineer II - Data Modeller + Java
at J.P. Morgan
Posted 17 days ago
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Join JPMorgan Chase's Corporate Compliance Technology team as a Data Engineer II to design, develop, and optimize data models, pipelines, and analytics solutions. You will work with structured and unstructured data, primarily on Databricks and Delta Lake, using SQL and Python to support compliance and risk use cases. The role involves collaborating with engineers, analysts, and stakeholders to ensure data quality, governance, and performant workflows. This position is suitable for candidates with formal software engineering training and 2+ years of applied experience.
- Compensation
- Not specified
- City
- Bengaluru
- Country
- India
Currency: Not specified
Full Job Description
Location: Bengaluru, Karnataka, India
You thrive on diversity and creativity, and we welcome individuals who share our vision of making a lasting impact. Your unique combination of design thinking and experience will help us achieve new heights.
As a Data Engineer II at JPMorgan Chase within the Corporate Compliance Technology, you will be part of an agile team dedicated to enhancing, designing, and delivering data collection, storage, access, and analytics solutions in a secure, stable, and scalable manner. As an emerging member of the data engineering team, you will execute data solutions by designing, developing, and troubleshooting various components within a technical product, application, or system, while acquiring the skills and experience necessary to advance in your role.
Job responsibilities
- Design and implement data models (conceptual, logical, and physical) to support business requirements.
- Work with structured and unstructured data from multiple sources and integrate them into Databricks.
- Collaborate with data engineers, analysts, and business stakeholders to understand data needs.
- Ensure data governance, quality, and compliance with industry standards.
- Create and maintain documentation for data models, pipelines, and architectures.
- Troubleshoot and optimize queries and workflows for performance improvement.
- Create/modify queries at consumption level for end users.
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 2+ years applied experience
- Hands on experience in data modeling with strong SQL knowledge
- Strong expertise in Databricks, Delta Lake, advanced queries
- Experience with SQL, Python for data manipulation.
- Knowledge of ETL/ELT processes and data pipeline development.
- Hands-on experience with data warehousing, relational databases, and NoSQL.
- Familiarity with data governance, security, and compliance best practices.
- Strong problem-solving skills and the ability to work in an agile environment.
- Experience working with large-scale data systems and streaming data.
- Knowledge of business intelligence (BI) tools and reporting frameworks.
- Experience with cloud platforms (AWS, Azure, or GCP) is a plus. Experience with OLAP tools (TM1, Essbase, Atoti etc) is a plus.
- Experience in Compliance and Risk domain (Operational and Compliance Risk, Surveillance and Financial Crimes) will be preferable.
