Data Engineer

• 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