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 : AWS Glue, PySpark

Good to have skills : NA

Minimum 5 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. Your role will also include troubleshooting data issues and optimizing data workflows to enhance performance and reliability. Roles & Responsibilities:

• Expected to be an SME.
• Collaborate and manage the team to perform.
• Responsible for team decisions.
• Engage with multiple teams and contribute on key decisions.
• Provide solutions to problems for their immediate team and across multiple teams.
• Mentor junior team members to enhance their skills and knowledge.
• Continuously evaluate and improve data processes to ensure efficiency and effectiveness. Professional & Technical Skills:
• Must To Have Skills: Proficiency in AWS Glue, PySpark.
• Strong experience with data pipeline development and management.
• Proficient in ETL processes and data integration techniques.
• Solid understanding of data quality frameworks and best practices.
• Experience with cloud-based data solutions and architectures. Additional Information:
• The candidate should have minimum 7.5 years of experience in AWS Glue.
• This position is based at our Bengaluru office.
• A 15 years full time education is required.