Senior Data Engineer: ETL Pipelines, Airflow, APIs & BigQuery
Summary
Mullers Solutions is hiring a Senior Data Engineer with 5–6 years of experience to design, build, and maintain scalable ETL data pipelines for inventory optimization and backend services. The core stack includes Python, Pandas, NumPy, Airflow, BigQuery, SQL, and API development, with an emphasis on data governance and security.
Muller's Solutions is seeking an experienced Data Engineer with 5–6 years of experience to design, develop, and maintain scalable data solutions. The role focuses on Python, Pandas, NumPy, Airflow, BigQuery, SQL, and API development to support inventory optimization and backend services.
The candidate will build robust data pipelines, process large datasets, and ensure data governance, security, and best practices across data platforms.