Government and Infrastructure - AI & Data - Data Engineer

About this kind of role

What a Government and Infrastructure - AI & Data - Data Engineer usually does. The employer's own details are in the listing.

Typically does: A Data Engineer builds and maintains data pipelines, transforming raw data into usable formats for analysis and reporting. They design, develop, and optimize data systems, ensuring data quality and accessibility. This role often involves working with large datasets and collaborating with data scientists and analysts. Data Engineers are responsible for the architecture and infrastructure supporting data-driven decision-making.

Tools and skills: Proficiency in SQL, Python, cloud platforms (like AWS, Azure, or Google Cloud), ETL tools, data warehousing solutions, and experience with big data technologies like Hadoop or Spark are generally required.

Good fit for: Individuals with strong analytical and problem-solving skills, a passion for data, and a meticulous approach to detail typically thrive in this role.