Java Developer

Job Title:

Java Developer

Location:

Midtown, New York City. Candidates must be located in the New York or New Jersey area and commute into the office five days a week. No relocation considered. Open to hybrid.

Interview Format:
Video.

Be part of a dynamic team where your distinctive skills will contribute to a winning culture and team.

As a Data Engineer/Developer at JPMorgan Chase within the Commercial & Investment Bank – Data Platforms team, 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.

You will apply your depth of knowledge and expertise to all aspects of the software development lifecycle, as well as partner continuously with stakeholders on a daily basis to stay focused on common goals. We embrace a culture of experimentation and constantly strive for improvement and learning.

• Supports review of controls to ensure sufficient protection of enterprise data
• Advises and makes custom configuration changes in one to two tools to generate a product at the business or customer request
• Updates logical or physical data models based on new use cases
• Innovates new ways of managing, transforming and validating data
• Applies quality assurance best practices to all work products
• Frequently uses SQL and understands No
  
  SQL databases and their niche in the marketplace
• Adds to team culture of diversity, equity, inclusion, and respect

• Formal training or certification on data engineering disciplines and 3+ years applied experience
• Experience across the data lifecycle
• Full stack development with Angular and Java or python
• Advanced skills at SQL (e.g., joins and aggregations)
• Working understanding of No
  
  SQL database platforms and writing efficient SQL
• Knowledge of application, data and infrastructure architecture disciplines
• Solid experience in Big Data technologies; (Spark, Impala, Hive, Redshift, Kafka, etc.)
• Skilled in Java and Python development – MUST
• Significant experience with statistical data analysis and ability to determine appropriate tools and data patterns to perform analysis
• Experience customizing changes in a tool to generate product
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy

• Experience with data analytics/data management processes on AWS
• Financial Services and Commercial and Investment Banking experience
• Familiarity with Dynamo
  
  DB and/or Cassandra

Candidate Visa’s Accepted:
No Opt. No H1.