The common responsibilities for this position include collaborating with cross-functional teams to understand business requirements, designing and implementing data pipelines and ETL processes, developing and maintaining data models and data products, ensuring data integrity and security through governance standards, and optimizing data infrastructure for performance and scalability. The role also involves monitoring data quality, troubleshooting issues, documenting processes, and staying updated on data engineering technologies and trends. Additionally, responsibilities include performing data migration, transformation, and integration projects, supporting data scientists on innovative data solutions, and enhancing data infrastructure with best practices and new 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