Description
The Senior Data Engineer will manage, integrate, and optimize data across upstream and downstream activities, with a focus on forecasting data. Responsibilities include building and maintaining ETL/ELT pipelines, ensuring data quality and governance, documenting data lineage, developing data solutions, participating in architectural decisions, and supporting production monitoring and troubleshooting. The role requires a relevant bachelor’s or master’s degree, strong Python and SQL experience, data modeling expertise, version control proficiency, and ETL/ELT experience; Databricks, Apache Airflow, and cloud data platforms are preferred.
