Project Role : Data Engineer
Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.
Must have skills : Data Modeling Techniques and Methodologies
Good to have skills : Python (Programming Language), PySpark
Minimum 7.5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As a Data Engineer, a typical day involves designing, developing, and maintaining comprehensive data solutions that support the generation, collection, and processing of data. This role requires building and managing data pipelines that facilitate smooth data flow across various systems. The professional ensures the integrity and quality of data while implementing processes to extract, transform, and load data efficiently. Collaboration with different teams to deploy data solutions and troubleshoot any issues is a key part of daily activities, contributing to the overall data infrastructure and operational success.