Vacancy expired!
- Maintain, improve, clean, and manipulate data in the business’s operational databases.
- Work with the business’s software engineers, architects, actuaries, and other quantitative analysts to understand and aid in implementing data requirements, analyzing performance, and troubleshooting any issues.
- Define and build the data pipelines that will enable faster, better, data-informed decision-making within the business.
- Design and develop scalable ETL packages from the business’s source systems and develop ETL routines to populate databases from those sources, as well as to create aggregates.
- 3+ years of Data Engineering experience building processes for data transformation, data structures, metadata, dependency, and workload management.
- 3+ years of experience working with relational databases, writing and optimizing SQL queries.
- Experience with PostgreSQL (Postgres) databases.
- Experience using Python to manipulate and process large, disconnected datasets.
- Experience processing large data sets of unstructured and structured data.
- Experience implementing and documenting data models and schema for new database structures and applications and then implementing measures to ensure data accuracy and accessibility.
- Experience with relational (SQL) and non-relational (NoSQL) databases (SQL Server, MySQL, AWS - RedShift, AWS - Elasticsearch, etc.).
Vacancy expired!