The common responsibilities for this position include designing, developing, and maintaining robust ETL/ELT data pipelines and infrastructure using various tools and cloud platforms. Collaborating with business stakeholders to understand data requirements and delivering high-quality data solutions is essential. Developing and optimizing data warehouse and ETL processes for effective data management, ensuring data quality, integrity, and compliance throughout the data lifecycle is critical. Proactively enhancing data infrastructure and processes with best practices and emerging technologies while monitoring and troubleshooting data pipeline issues to maintain data integrity and availability is required. Creating and maintaining documentation for data pipelines, schemas, and processes, as well as mentoring junior engineers, is also part of the role. Additionally, leading data projects focused on data governance, sharing, and improving data movement within the organization is expected.
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.
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