DescriptionBe part of a dynamic team where your distinctive skills will contribute to a winning culture and team.
As software application developer at JPMorgan Chase within Enterprise Technology's Workforce Technology Group, you serve as a seasoned member of an agile team to design and deliver trusted data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. You are responsible for developing, testing, and maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firm’s business objectives.
Job responsibilities
- Supports review of controls to ensure sufficient protection of enterprise data
- Contributes to custom configuration changes in one to two tools to generate a product at the business or customer request
- Executes on updating logical or physical data models based on new use cases
- Adds to team culture of diversity, equity, inclusion, and respect
Required qualifications, capabilities, and skills
- Experience across the data lifecycle
- Experience with SQL and understanding of NoSQL databases and their niche in the marketplace
- Formal training or certification on software engineering concepts and 3+ years applied experience
- Quantitative field with preferred focus on Information Systems with 6+ years of experience
Preferred qualifications, capabilities, and skills
- Hands-on experience with Apache Kafka, Apache Flink and/or Spark. Experience in using Databricks for big data analytics and processing.
- Experience with Data Orchestrator tool like Airflow. Experience with Data Integration tools like Apache Kafka
- Familiarity with data governance and metadata management. Experience with messaging technologies like Kafka, Kinesis.
- Hands on experience in building applications using AWS services like Lambda, EMR and EKS, REST API
- Solid background with hands-on Java, Spring Framework. 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
- Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
