Data Engineer

Responsibility

The common responsibilities for this position include designing and building scalable data infrastructure, including databases and large language models (LLMs), and creating detailed architecture documentation with diagrams and flowcharts. The role involves developing and implementing robust data pipelines and cloud-based architectures for efficient ETL processes, optimizing data discovery and analytics performance on big data platforms, and leveraging advanced data mining and statistical techniques for data-driven decision-making. Responsibilities also encompass collaborating with cross-functional teams to understand business needs, automating data processes, and ensuring seamless and efficient data engineering workflows. The Data Engineer will perform system health checks, monitor performance, diagnose and resolve issues, and conduct regular performance reviews of data pipelines and architectures. Additionally, the role includes evaluating and enhancing machine learning models, staying informed about emerging industry trends, and developing new technology projects in Operations, including AI and RPA applications.

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%