Write and review technical documents, including requirements and design documents for existing and future data systems, as well as data standards and policies.
Extract, transform and load logic to automate data collection and manage data processes / pipelines including data quality and monitoring.
Role Proficiencies:
2+ years direct experience working as a data engineer.
Experience designing and deploying large scale distributed data processing systems with one or more technologies such as MS SQL Server, PostgreSQL, MongoDB, Cassandra, Redis, Hadoop, Spark, Hive, Teradata, or MicroStrategy
A high-level understanding of automation in a cloud environment: AWS experience preferred.