The common responsibilities for this position include designing, developing, and maintaining scalable data architectures and data pipelines, implementing ETL processes, collaborating with cross-functional teams to understand data requirements, and ensuring data integrity and quality. The role also involves monitoring and troubleshooting data workflows, optimizing performance, documenting technical specifications, and developing data models and database structures. Additionally, responsibilities include implementing data governance practices, supporting data management and analytics initiatives, and staying updated on industry trends and technologies. The Data Engineer will also be expected to build and maintain data infrastructure, integrate multiple data sources, and provide actionable insights through analytics tools.
The percentages next to each skill reflect the sector’s demands in these respective skills. E.g., 30% means this skill has been listed in 30% of all the job postings in this sector.
The skills distribution tells you what specific skill sets are in demand. E.g., Skills with a distribution of “More than 50%” means that these skills are wanted in more than 50% of the job postings.
Job classifications that have advertised a position
Academic degree required as indicated by all job postings
Job subclassifications that have advertised a position