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 15 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. This 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 across various systems, enabling seamless data migration and deployment. Collaboration with different teams to align data strategies and optimize data infrastructure is an integral part of daily activities.

Roles & Responsibilities:

• Expected to be a SME with deep knowledge and experience.
• Should have Influencing and Advisory skills.
• Responsible for team decisions.
• Engage with multiple teams and contribute on key decisions.
• Expected to provide solutions to problems that apply across multiple teams.
• Lead the design and implementation of scalable data architectures to support business needs.
• Mentor junior team members and facilitate knowledge sharing within the team.
  
  

Professional & Technical Skills:

• Must To Have Skills: Proficiency in Data Engineering.
• Strong expertise in building and optimizing data pipelines and workflows.
• Experience with data integration and ETL tools to manage data migration and transformation.
• Knowledge of data storage solutions, including relational and non-relational databases.
• Familiarity with cloud platforms and distributed computing frameworks to handle large-scale data processing.
• Ability to ensure data quality, consistency, and security throughout the data lifecycle.
  
  

Additional Information:

• The candidate should have minimum 6 years of experience in Data Engineering.
• This position is based at our BDC11 - SEZ office.
• A 15 years full time education is required.