Data Engineer

Required

• Strong SQL skills, including advanced joins, window functions, CTEs, and performance tuning.
• Python experience for data processing and automation using pandas or PySpark.
• Hands-on database and data warehouse modeling experience, including dimensional and normalized modeling.
• Experience developing and supporting data pipelines using a medallion architecture with Bronze, Silver, and Gold layers.
• Understanding of data quality, testing, monitoring, and production support best practices.
• Experience working with retail data domains such as sales, inventory, products, pricing, merchandising, replenishment, logistics, or supply chain is preferred.

Preferred/Plus

• Databricks, including Spark, Delta Lake, and Unity Catalog.
• Cloud data platforms such as Databricks, Snowflake, BigQuery, or Redshift.
• Job orchestration tools such as Airflow, Azure Data Factory, Prefect, or Dagster.
• Data quality frameworks and observability tools.
• Familiarity with BI ecosystems such as Power BI or Sigma.

The ideal candidate is:

• A Databricks-heavy Data Engineer
• Comfortable in a Lakehouse environment
• Strong in SQL and Python
• Able to communicate effectively with business partners
• A proactive self-starter who can hit the ground running
• Someone who can own problems rather than wait for direction