Description
The Data Engineer will develop scalable batch and streaming ETL/ELT solutions for multiple consulting clients, using Spark/PySpark, Python, SQL, dbt, Airflow, Snowflake, and Databricks. The role also involves data modeling, data transformation, analytics and machine-learning pipeline support, quality testing, documentation, and CI/CD. It requires several years of professional experience, strong SQL and Spark skills, and the ability to work independently across changing client projects.
