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 : PySpark
Good to have skills : Data Engineering, Snowflake Data Warehouse, AWS Glue
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary: As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and deliver effective solutions that meet business needs. 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. - Assist in the optimization of data pipelines for improved performance and efficiency. - Engage in continuous learning to stay updated with the latest data engineering practices and technologies. Professional & Technical Skills: - Must To Have Skills: Proficiency in PySpark. - Good To Have Skills: Experience with AWS Glue, Snowflake Data Warehouse, Data Engineering. - Strong understanding of data modeling and database design principles. - Experience with data integration tools and techniques. - Familiarity with cloud-based data solutions and architectures. Additional Information: - The candidate should have minimum 3 years of experience in PySpark. - This position is based at our Hyderabad office. - A 15 years full time education is required.