Senior Data Engineer (Analytics)

About this kind of role

What a Senior Data Engineer (Analytics) usually does. The employer's own details are in the listing.

Typically does: Designs, builds, and maintains data pipelines to transform and load data from various sources into data warehouses or data lakes. Develops and implements data models, ensuring data quality and accuracy for analytical purposes. Collaborates with data scientists and analysts to understand their data needs and provide them with the necessary data infrastructure. Optimizes data systems for performance and scalability to support growing data volumes and analytical workloads.

Tools and skills: Proficiency in SQL, Python or Java, experience with cloud platforms like AWS, Azure, or Google Cloud, and familiarity with data warehousing technologies such as Snowflake or Redshift are generally required.

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 often thrive in this role.