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 BigQuery
Good to have skills : Microsoft SQL Server, Google Cloud Data Services
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary: As a Data Engineer, you will be responsible for designing, developing, and maintaining data solutions for data generation, collection, and processing. You will create data pipelines, ensure data quality, and implement ETL processes to migrate and deploy data across systems. Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Develop and maintain data pipelines. - Ensure data quality throughout the data lifecycle. - Implement ETL processes for data migration and deployment. - Collaborate with cross-functional teams to understand data requirements. - Optimize data storage and retrieval processes. Professional & Technical Skills: - Must To Have Skills: Proficiency in Google BigQuery. - Strong understanding of data engineering principles. - Experience with cloud-based data services. - Knowledge of SQL and database management systems. - Hands-on experience with data modeling and schema design. Additional Information: - The candidate should have a minimum of 3 years of experience in Google BigQuery. - This position is based at our Mumbai office. - A 15 years full time education is required.15 years full time education
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