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 : Java, Python (Programming Language), AWS Glue

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. This role includes creating efficient data pipelines and ensuring the integrity and quality of data throughout its lifecycle. The position also requires implementing processes to extract, transform, and load data, facilitating seamless migration and deployment across various systems. The work environment encourages collaboration and continuous improvement to meet evolving data needs and support organizational objectives.

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 solutions.
• Monitor and optimize data workflows to enhance performance and reliability.
• Document data processes and maintain clear communication with stakeholders.
• Support junior team members by sharing knowledge and assisting with technical challenges.
  
  

Professional & Technical Skills:

• Must To Have Skills: Proficiency in Data Engineering.
  
  

Python

Glue (AWS ETL tool)

Athena

DMS (data migration service i think)

AWS database stack generally

Spark

Nice to have - Airflow scheduler

Nice to have - Java

• Good To Have Skills: Experience with Java, Python (Programming Language), AWS Glue.
• Strong knowledge of data pipeline architecture and design principles.
• Experience with data integration and ETL tools and techniques.
• Familiarity with cloud-based data services and infrastructure.
• Ability to troubleshoot and resolve data processing issues efficiently.
  
  

Additional Information:

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