Senior Data Engineer (Full-Stack)

About this kind of role

What a Senior Data Engineer (Full-Stack) 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 transforming raw data into usable formats, ensuring data quality, and optimizing data systems for performance. Senior Data Engineers often collaborate with data scientists, analysts, and software engineers to deliver data-driven solutions. They may also be involved in designing and implementing data governance policies.

Tools and skills: Proficiency in SQL, Python or Java, cloud platforms like AWS or Azure, data warehousing technologies (e.g., Snowflake, Redshift), ETL tools, and experience with big data technologies like Spark or Hadoop is generally expected.

Good fit for: Individuals with strong analytical and problem-solving skills, a passion for data, and the ability to work both independently and collaboratively are often successful in this role.