Data Engineer - SQL/Python - Capital Market/Banking

Data Engineer

Required Location: ONSITE PLANO, TX FIVE DAYS A WEEK NO RELOCATION

Duration: 12+Months

Interview Required: Video & Onsite final

Three Senior (10+ years) Data Engineers with extensive experience working with SQL/NoSQL, Big Data/Spark as well as Java or Python. CANDIDATES MUST HAVE RECENT EXPERIENCE IN BANKING OR FINANCIAL SERVICES/CAPITAL MARKETS. CANDIDATES MUST BE WITHIN A ONE HOUR COMMUTE TO PLANO, TX AND GO INTO THE OFFICE 5 DAYS A WEEK. THERE WILL BE A FINAL ONSITE INTERVIEW.

Job Description: Be part of a dynamic team where your distinctive skills will contribute to a winning culture and team.
As a Data Engineer III 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 your many stakeholders on a daily basis to stay focused on common goals. We embrace a culture of experimentation and constantly strive for improvement and learning.
Job Responsibilities

• 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
• Innovate new ways of managing, transforming and validating data
• Apply quality assurance best practices to all work products
• Frequently uses SQL and understands NoSQL databases and their niche in the marketplace
• Adds to team culture of diversity, equity, inclusion, and respect

Required Qualifications, Capabilities, And Skills

• Formal training or certification on data engineering disciplines and 3+ years applied experience
• Experience across the data lifecycle
• Advanced at SQL (e.g., joins and aggregations)
• Working understanding of NoSQL database platforms and writing efficient SQL's
• 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

Preferred Qualifications, Capabilities, And Skills

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