Data Engineer

Overview

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 : Google Cloud Machine Learning Services
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : BTech

Summary: As a Data Engineer, you will design, develop, and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL processes to migrate and deploy data across systems. Your day will involve working on data architecture, ETL processes, and ensuring data integrity. Roles & Responsibilities: - Expected to be an SME - Collaborate and manage the team to perform - Responsible for team decisions - Engage with multiple teams and contribute on key decisions - Provide solutions to problems for their immediate team and across multiple teams - Lead data architecture design - Implement and optimize ETL processes - Conduct data quality assessments Professional & Technical Skills: - Must To Have Skills: Proficiency in Google Cloud Machine Learning Services - Strong understanding of data architecture principles - Experience with ETL tools and processes - Knowledge of data modeling and database design - Hands-on experience with data migration and deployment processes Additional Information: - The candidate should have a minimum of 5 years of experience in Google Cloud Machine Learning Services - This position is based at our Hyderabad office - A BTech degree is required