Data Engineer

Responsibility

The common responsibilities for this position include designing, developing, and maintaining data pipelines and ETL processes; building and optimizing cloud-based data lakes and warehouses; implementing data quality checks and compliance standards; troubleshooting and resolving data-related issues; collaborating with cross-functional teams to define project scopes and requirements; conducting thorough testing and validation of data pipelines; creating detailed architecture documentation; leveraging advanced data mining and statistical techniques for data-driven decision-making; developing machine learning models and data automation pipelines; ensuring the quality, integrity, and security of data throughout its lifecycle; and providing actionable insights through data analysis and visualization. Additionally, responsibilities involve engaging in discussions with stakeholders, monitoring cloud infrastructure performance, and participating in the implementation of new technology projects.

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%