Data Analytics Engineer

Functional Skills are essential skills that help individuals perform tasks effectively in everyday life, work, and education.

Data Modeling

ETL Processes

SQL and Database Management

Data Warehousing Solutions

Cloud Data Services

Data Governance and Data Quality

Programming Languages (Python, R)

Big Data Technologies

Data Visualization

Communication, teamwork, and critical thinking to ensure seamless project execution.

Technical Skills are specialized abilities and knowledge needed to perform specific tasks or functions.

Task

95%

Design and implement data pipelines for efficient data extraction, transformation, and loading (ETL) processes.

92%

Develop and maintain data models and database systems to ensure data integrity and accessibility.

90%

Collaborate with data scientists and business analysts to understand data requirements and deliver data solutions.

88%

Optimize data storage and retrieval processes to improve system performance and scalability.

85%

Monitor data quality and implement data validation procedures to ensure data accuracy.

82%

Automate data processes and develop scripts for data manipulation and analysis.

80%

Troubleshoot data-related issues and provide technical support to data users.

78%

Implement data security measures and ensure compliance with data governance policies.

75%

Research and evaluate new data technologies and tools to improve data engineering capabilities.

72%

Document data processes and create technical documentation for data systems.

70%

Participate in data architecture planning and contribute to the development of data strategies.

68%

Develop and maintain APIs for data access and integration with other systems.

Work Activities

Detailed Work Profile

Interests