Data Engineer

Responsibility

The common responsibilities for this position include implementing data platform architectures, including big data, NoSQL, and AI technologies for data services; gathering business and data requirements; managing data ingestion and converting requirements into data strategies and models; collaborating with business and technology teams to develop data-driven solutions; developing reports, dashboards, and artifacts to communicate analysis results; defining business requirements and designing appropriate solutions; developing data warehouse solutions to support business intelligence and analytics; conducting ETL development; supporting data visualization tools such as Data Studio and Tableau; and defining a data governance model to ensure data quality. Additionally, responsibilities encompass designing and maintaining data pipelines, optimizing data workflows and models for efficiency and scalability, analyzing data for insights, and ensuring data integrity and compliance during processes.

Job Growth

Skills Requirement

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.

• Skill Categories
• Specific Skill Sets

Skills Distribution

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.

• More Than 70%
• More Than 50%
• More Than 30%
• More Than 10%