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
Experience with data analytics/data management processes on AWS
Financial Services and Commercial and Investment Banking experience