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 : Data Engineering

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, a typical day involves designing, developing, and maintaining comprehensive data solutions that support the generation, collection, and processing of data. The role includes creating efficient data pipelines to facilitate smooth data flow and ensuring the integrity and quality of data throughout its lifecycle. Additionally, the position requires implementing processes to extract, transform, and load data, enabling seamless migration and deployment across various systems. This role demands continuous collaboration with different teams to optimize data handling and support organizational data needs effectively.

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 cross-functional teams to understand data requirements and deliver scalable data solutions.
• Monitor and troubleshoot data pipeline issues to ensure uninterrupted data flow.
• Document data processes and workflows to maintain clarity and support knowledge sharing.
• Assist junior team members by providing guidance and support in their tasks.
  
  

Professional & Technical Skills:

• Must To Have Skills: Proficiency in Data Engineering.
• Experience with designing and implementing data pipelines and ETL processes.
• Strong knowledge of data storage solutions and database management.
• Familiarity with cloud-based data platforms and distributed computing frameworks.
• Ability to optimize data workflows for performance and scalability.
• Understanding of data quality assurance and validation techniques.
  
  

Additional Information:

• The candidate should have minimum 3 years of experience in Data Engineering.
• This position is based at our BDC11 - SEZ office.
• A 15 years full time education is required.