Why this role stands out
This Data Engineer role at Global Force USA offers a fantastic opportunity to hone your advanced SQL and Python skills while contributing to impactful data initiatives within a reputable company. If you thrive on building robust data pipelines and have a solid understanding of data modeling and quality best practices, you'll be a great fit for this hybrid position. Apply today to join their dynamic team in Dallas!
Quick overview
Job description
REQUIRED SKILLS
- 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.
- 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.
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