Senior Data Engineer
Core
Build global data products and end-to-end data pipelines to support international growth and digital commerce capabilities in the food & beverage industry.
Role type
Senior hands-on data engineer
Builds
Global data products, scalable data pipelines, and data engineering tools
Domain
Food & beverage, Digital Commerce, Retail
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, PySpark, SQL, Airflow, DBT, Hadoop (Hive/Impala), AWS, Azure, Snowflake, Data modeling, Pipeline testing, Scalability design, Architecture decision making, Tool development, Exception handling, Monitoring, Debugging, Data quality analysis
Preferred skills
Retail, E-commerce, or Financial Services domain experience
Technologies
Python, PySpark, SQL, Airflow, DBT, Hadoop, Hive, Impala, AWS, Azure, Snowflake
Responsibilities
Own data pipeline development end-to-end including modeling, testing, scalability, and metrics; Contribute to engineering best practices and coding standards; Collaborate on architecture discussions and platform expansion; Deliver high-quality pipelines through analysis, peer reviews, and test automation; Introduce new tools and practices to improve data and code quality; Support production pipelines via exception handling, monitoring, and debugging; Manage large data sources and proactively resolve data quality issues with client/IT teams.
Seniority
Senior, hands-on IC
