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 : NA
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 for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL processes to migrate and deploy data across systems. Be involved in the end-to-end data management process. 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 for efficient data processing. - Implement ETL processes to ensure seamless data migration. - Collaborate with cross-functional teams to optimize data solutions. - Conduct data quality assessments and implement improvements. - Stay updated on industry trends and best practices for data engineering. Professional & Technical Skills: - Must To Have Skills: Proficiency in PySpark. - Strong understanding of data processing and manipulation techniques. - Experience with cloud-based data platforms like AWS or Azure. - Knowledge of database systems and SQL for data querying. - Hands-on experience in building scalable data solutions. - Good To Have Skills: Experience with Apache Hadoop. Additional Information: - The candidate should have a minimum of 3 years of experience in PySpark. - This position is based at our Noida office. - A 15 years full-time education is required.