Senior Data Engineer - DataStage to Azure Databricks Migration

About this kind of role

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

Typically does: Data engineers design, build, and maintain data pipelines and infrastructure. They extract, transform, and load (ETL) data from various sources into data warehouses or data lakes. This role often involves optimizing data processes for performance and scalability, and ensuring data quality and reliability. They may also collaborate with data scientists and analysts to support their data needs.

Tools and skills: Proficiency in data warehousing concepts, SQL, ETL tools like IBM DataStage, and cloud platforms like Azure Databricks is generally expected, alongside programming languages such as Python or Scala.

Good fit for: Individuals with strong analytical and problem-solving skills who enjoy working with large datasets and building robust data solutions are often successful in this role.