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 : AWS Glue, 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 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.
- Collaborate with stakeholders to gather and analyze data requirements.
- Monitor and optimize data pipelines for performance and reliability.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in AWS Glue, PySpark.
- Strong understanding of data modeling and database design principles.
- Experience with ETL processes and data integration techniques.
- Familiarity with cloud data storage solutions and data warehousing concepts.
- Knowledge of data governance and data quality best practices.
Additional Information:
- The candidate should have minimum 3 years of experience in AWS Glue.
- This position is based at our Pune office.
- A 15 years full time education is required.
