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 that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to effectively migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and contribute to the overall data strategy of the organization, ensuring that data solutions are efficient, scalable, and aligned with business objectives. 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 design and implementation of data architecture to support data initiatives. - Collaborate with stakeholders to gather requirements and translate them into technical specifications. Professional & Technical Skills: - Must To Have Skills: Proficiency in PySpark. - Strong understanding of data processing frameworks and ETL methodologies. - Experience with data warehousing solutions and data modeling. - Familiarity with cloud platforms such as AWS, Azure, or Google Cloud. - Knowledge of database technologies including SQL and NoSQL. Additional Information: - The candidate should have minimum 3 years of experience in PySpark. - This position is based at our Bengaluru office. - A 15 years full time education is required.