Lead Databricks Data Engineer (Supply Chain)

About this kind of role

What a Lead Databricks Data Engineer (Supply Chain) usually does. The employer's own details are in the listing.

Typically does: A Data Engineer in this role designs, builds, and maintains data pipelines and infrastructure to support data-driven decision-making. They focus on optimizing data processing for supply chain applications, ensuring data quality, and enabling efficient data access for analytics and reporting. This often involves collaborating with data scientists, analysts, and supply chain professionals to understand their needs and deliver effective solutions. They also monitor system performance and troubleshoot issues to ensure data reliability.

Tools and skills: Proficiency in Databricks, Spark, SQL, Python, and cloud platforms like AWS or Azure is generally expected, alongside experience with data warehousing concepts and ETL processes.

Good fit for: Individuals with strong analytical and problem-solving skills, a passion for data, and the ability to work effectively in a collaborative environment typically thrive in this role.