Lead Software Engineer - Java / Python / Scala, SPARK

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 Data Engineer at JPMorgan Chase within the Consumer and community banking technology team, you are an integral part of an agile team that works to enhance, build, and deliver data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. As a core technical contributor, you are responsible for maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

• Generates data models for their team using firmwide tooling, linear algebra, statistics, and geometrical algorithms
• Delivers data collection, storage, access, and analytics data platform solutions in a secure, stable, and scalable way
• Implements database back-up, recovery, and archiving strategy 
• Evaluates and reports on access control processes to determine effectiveness of data asset security with minimal supervision
• Adds to team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years of applied experience
• Working experience with both relational and NoSQL databases
• Experience across the data lifecycle
• Experience with Batch and Real time Data processing with Spark or Flink.
• Working knowledge of AWS Glue and EMR usage for Data processing.
• Experience working with Databricks.
• Experience working with Python/Java, PySpark etc.,
• Advanced at SQL (e.g., joins and aggregations)
• Significant experience with statistical data analysis and ability to determine appropriate tools and data patterns to perform analysis.