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 : Amazon Web Services (AWS)

Good to have skills : AWS Glue

Minimum 3 Year(s) Of Experience Is Required

Educational Qualification : 15 years full time education

Summary:

As a Data Engineer, your typical day involves designing, developing, and maintaining robust data solutions that support the generation, collection, and processing of data. You will be responsible for creating efficient data pipelines that facilitate smooth data flow across various systems. Ensuring the accuracy and quality of data is a key part of your role, along with implementing processes to extract, transform, and load data effectively. Your work enables seamless data migration and deployment, supporting the broader data infrastructure and analytics needs of the organization.

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 optimize data pipelines to ensure high performance and reliability.

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 Amazon Web Services (AWS), AWS Glue.

Good To Have Skills: Experience with AWS Glue.

Strong knowledge of cloud-based data storage and processing services within Amazon Web Services.

Experience in building and managing scalable ETL pipelines.

Familiarity with data integration, transformation, and migration techniques.

Ability to troubleshoot and resolve data pipeline issues efficiently.

Additional Information:

The candidate should have minimum 3 years of experience in Amazon Web Services (AWS).

This position is based at our HDC4 - SEZ location.

A 15 years full time education is required.

Data Engineer (with AWS)

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