Data Engineering Software Developer (SME)

About this kind of role

What a Data Engineering Software Developer (SME) 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 integrity throughout the process. Optimizes data infrastructure for performance and scalability, addressing issues and implementing improvements. Collaborates with data scientists, analysts, and other engineers to support data-driven decision-making.

Tools and skills: Proficiency in programming languages like Python or Java, experience with data warehousing technologies (e.g., Snowflake, Redshift), and familiarity with ETL tools, cloud platforms (e.g., AWS, Azure, GCP), and database systems (SQL, NoSQL) is generally expected.

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.