Senior Data Engineer - Python, Airflow, BigQuery, ETL
Summary
Designs and maintains scalable data pipelines in Python and Airflow, optimizing inventory and backend services with BigQuery and SQL.
Muller's Solutions is seeking an experienced Data Engineer with 5-6 years of experience to design, develop, and maintain scalable data solutions. The ideal candidate will excel in Python, Pandas, NumPy, Airflow, BigQuery, SQL, and API development, and will build robust data pipelines for inventory optimization and backend services.
You will collaborate with Product, Analytics, and Engineering teams, implement data governance, and ensure data quality and performance across large datasets.