Source description
About the role
We need: 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. NO RELOCATION AND NO H1 CONSIDERED . **Candidates must have Long Projects/Good Tenure, Excellent communication skills and a State issued ID (Not Bills) showing they are Local.
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
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Experience with data analytics/data management processes on AWS
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Financial Services and Commercial and Investment Banking experience
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Familiarity with DynamoDB and/or Cassandra
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