Databricks Data Engineer, Risk Technology

About this kind of role

What a Databricks Data Engineer, Risk Technology usually does. The employer's own details are in the listing.

Typically does: A Data Engineer in Risk Technology builds and maintains data pipelines to support risk management processes. This involves extracting, transforming, and loading data from various sources into a centralized data warehouse or data lake. They design, develop, and implement data solutions to meet the needs of risk analysts and model developers, ensuring data quality and reliability. Responsibilities often include monitoring data pipelines, troubleshooting issues, and collaborating with other engineers and stakeholders.

Tools and skills: Proficiency in programming languages like Python or Scala, experience with cloud platforms (e.g., AWS, Azure, GCP), and familiarity with data engineering tools such as Spark, Delta Lake, and SQL are typically required.

Good fit for: Individuals with a strong analytical mindset, a passion for data, and the ability to work collaboratively in a fast-paced environment often thrive in this role.