Lead Data Engineer – Hands-On | Azure Databricks

About this kind of role

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

Typically does: A Lead Data Engineer designs, builds, and maintains data pipelines and infrastructure. This role involves collaborating with data scientists, analysts, and other engineers to ensure data is accessible, reliable, and optimized for various analytical purposes. Responsibilities often include data modeling, ETL development, and performance tuning of data systems. The Lead Data Engineer may also mentor junior team members and contribute to architectural decisions.

Tools and skills: Proficiency in SQL, Python, cloud platforms (particularly Azure), data warehousing technologies, ETL tools, and experience with distributed computing frameworks like Spark is generally required.

Good fit for: Individuals with strong analytical and problem-solving skills, a passion for data, and a desire to lead and mentor others typically thrive in this role.