Data Engineer

Responsibility

The common responsibilities for this position include designing, building, and maintaining scalable ETL/ELT pipelines to process and load data into systems like BigQuery; collaborating with cross-functional teams, including machine learning engineers and app developers, to develop end-to-end analytical systems; ensuring data quality, consistency, and real-time monitoring; discovering potential demands and translating requirements into data-driven solutions; implementing robust pipelines for data cleaning, transformation, and feature engineering; establishing model governance frameworks; and promoting digital transformation initiatives. Additionally, responsibilities involve developing and deploying scalable AI/ML solutions, leading the development and maintenance of data pipelines for efficient data storage and retrieval, optimizing data flow, monitoring data warehouse performance, and providing technical guidance to junior analysts.

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%