Senior Data Engineer (Databricks, Snowflake, ETL)

About this kind of role

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

Typically does: A Senior Data Engineer designs, builds, and maintains data pipelines and infrastructure to support data analysis and machine learning initiatives. This role involves extracting data from various sources, transforming it into usable formats, and loading it into data warehouses or data lakes. They also focus on data quality, reliability, and performance optimization within the data ecosystem. Senior Data Engineers often mentor junior team members and contribute to architectural decisions.

Tools and skills: Proficiency in programming languages like Python or Scala, experience with cloud platforms (e.g., AWS, Azure, GCP), and expertise in data warehousing technologies such as Databricks and Snowflake, alongside ETL tools and SQL are typically required.

Good fit for: Individuals with strong analytical and problem-solving skills, a passion for data, and a desire to build robust and scalable data solutions are often successful in this role.