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 S3 (Simple Storage Service)

Good to have skills : NA

Minimum 7.5 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 data generation, collection, and processing activities. The role requires building and managing data pipelines to facilitate smooth data flow and ensuring the integrity and quality of data throughout its lifecycle. The position also involves implementing processes to extract, transform, and load data efficiently, enabling seamless migration and deployment across various systems. Collaboration with different teams to align data strategies and optimize system performance is an integral part of daily responsibilities, fostering a dynamic and solution-oriented work environment.

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.
• Lead the development and optimization of data pipelines to support business needs and operational efficiency.
• Facilitate knowledge sharing and mentoring within the team to enhance overall technical capabilities.
• Coordinate cross-functional efforts to ensure data solutions align with organizational goals and compliance requirements.
  
  

Professional & Technical Skills:

• Must To Have Skills: Proficiency in AWS S3 (Simple Storage Service).
• Experience with cloud-based data storage and management solutions.
• Strong understanding of data pipeline architecture and ETL processes.
• Familiarity with data quality assurance and validation techniques.
• Ability to troubleshoot and resolve data-related issues effectively.
• Knowledge of scalable data processing frameworks and best practices.
  
  

Additional Information:

• The candidate should have minimum 7.5 years of experience in AWS S3 (Simple Storage Service).
• This position is based at our Bengaluru office.
• A 15 years full time education is required.