The common responsibilities for this position include designing, developing, and maintaining data pipelines and ETL processes; building and managing data sets; automating data ingestion and transformation; collaborating with teams to implement data solutions; conducting data quality checks and ensuring data integrity; monitoring and troubleshooting data pipelines; and performing system health checks and backups. Additional duties involve establishing data governance practices, documenting processes, and supporting data scientists and business users with data-driven insights. The role also requires managing relationships with external vendors, analyzing business requirements, and delivering AI and machine learning solutions.
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