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
- 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