The common responsibilities for this position include working closely with business stakeholders to understand data requirements, developing and maintaining data warehouse and ETL processes, designing and implementing scalable ETL/ELT data pipelines, and ensuring data quality, security, and compliance. The role involves collaborating with technical teams to build and deliver data solutions, optimizing data processing workflows, and enhancing data infrastructure using best practices and emerging technologies. Responsibilities also encompass conducting thorough testing and validation of data pipelines, troubleshooting data-related issues, creating documentation for architectures, and providing technical guidance to team members. Additionally, the position requires staying updated on industry trends, proposing innovative solutions, and coordinating with cross-functional teams to support analytics and data science use cases.
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