Lead Data Engineer- Azure Databricks

About this kind of role

What a Lead Data Engineer- Azure Databricks usually does. The employer's own details are in the listing.

Typically does: Designs, builds, and maintains data pipelines and infrastructure to support data warehousing and analytics. This role involves optimizing data flow, ensuring data quality, and collaborating with data scientists and analysts. Lead Data Engineers often focus on scalability, reliability, and performance of data systems. They may also mentor junior engineers and contribute to data engineering best practices.

Tools and skills: Proficiency in SQL, Python, cloud platforms like Azure, and big data technologies such as Databricks, Spark, and Hadoop 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.