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 : Apache Airflow

Good to have skills : AWS Glue

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 robust data solutions that support the generation, collection, and processing of data. The role includes creating efficient data pipelines and ensuring the integrity and quality of data throughout its lifecycle. You will be responsible for implementing processes that enable smooth migration and deployment of data across various systems, collaborating with different teams to meet project goals and optimize data workflows.

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 efforts to optimize data pipeline performance and reliability.
• Mentor junior team members to support their professional growth and development.
  
  

Professional & Technical Skills:

• Must To Have Skills: Proficiency in Apache Airflow.
• Good To Have Skills: Experience with AWS Glue.
• Strong knowledge of data pipeline architecture and ETL processes.
• Experience in designing scalable and maintainable data workflows.
• Familiarity with data quality assurance and monitoring techniques.
• Ability to troubleshoot and resolve complex data integration issues.
  
  

Additional Information:

• The candidate should have minimum 8 years of experience in Apache Airflow.
• This position is based at our BDC11 - SEZ office.
• A 15 years full time education is required.