Data Engineer

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 Data Services
Good to have skills : Data Engineering, GCP Dataflow
Minimum 2 year(s) of experience is required
Educational Qualification : standard 15 years

Summary: As a Data Engineer, you will design, develop, and maintain 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. Your typical day will involve designing and developing data solutions, collaborating with cross-functional teams, and ensuring data integrity and quality. 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. - Design and develop data solutions for data generation, collection, and processing. - Create and maintain data pipelines to ensure efficient data flow. - Implement ETL processes to migrate and deploy data across systems. - Collaborate with cross-functional teams to understand data requirements and provide technical expertise. - Ensure data quality and integrity by implementing data validation and cleansing techniques. - Optimize data storage and retrieval processes for improved performance. - Troubleshoot and resolve data-related issues in a timely manner. Professional & Technical Skills: - Must To Have Skills: Proficiency in Google Cloud Data Services. - Good To Have Skills: Experience with Data Engineering, GCP Dataflow. - Strong understanding of statistical analysis and machine learning algorithms. - Experience with data visualization tools such as Tableau or Power BI. - Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. - Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information: - The candidate should have a minimum of 2 years of experience in Google Cloud Data Services. - This position is based at our Pune office. - A standard 15 years of education is required.