Job description 

What You Will Do:

Build & enhance data models and database architecture for Enterprise data Model.

Help define data standards and implement best practices working with the other members of the Data Management team.

Evaluate, design and develop functional specifications through detailed technical requirements document.

Evaluate MDM Applications, developments or models and provide recommendations for improvements.

Evaluate existing database structures and recommend improvements.

Build and/or maintain ELT processes in support of the enterprise model.

Evaluate and help select various data warehousing tools and components.

What You Will Need:

4+ years of experience in Data engineering 

Fluency SQL and relational databases (e.g., Redshift, PostgreSQL, MySQL, or Oracle)

Fluency in Python

Hands-on Experience in Airflow

Hands-on Experience in Kafka

Hands-on Experience with ETL/ELT

Strong intuition for digging through mountains of data to find patterns, abnormalities

Strong operational experience with Data Warehouse systems larger than 50 Tb (e.g., Snowflake, Redshift, Teradata, Oracle)

Experience with cloud technologies (such as AWS)

Beneficial (not required) Skills:     

Experience with Business Intelligence tools, such as Microstrategy, Looker, Tableau, or similar

Experience with Spark

Experience with Informatica

Experience with Shell Scripting

Experience with deployment, continuous integration technologies, container technologies (such as Docker), and source code management (such as Git)

Experience with containerization technologies (Docker, kubernetes)