Description
The role is a consulting data engineer focused on developing scalable ETL/ELT pipelines for batch and streaming processing. Responsibilities include building data solutions for multiple customers, using Spark/PySpark, Python, SQL, Airflow, Databricks, Snowflake, data modeling, testing, documentation, and CI/CD, while supporting analytics and machine-learning pipelines. The position requires several years of experience, strong SQL and Spark/PySpark skills, Python, dbt, Airflow, Snowflake or Databricks, and data-modeling expertise. It offers flexible working arrangements with home office and weekly on-site meetings, along with corporate benefits.
