AWS Data Engineer - Python/PySpark

About the Opportunity :

Join a dynamic leader in the cloud data engineering sector, specializing in advanced data solutions and real-time analytics for enterprise clients.

This role offers an on-site opportunity in India to work on cutting-edge AWS infrastructures where innovation is at the forefront of business transformation.

This opportunity is ideal for professionals with 4+ years of proven experience in AWS data engineering, Python, and PySpark.

You will contribute to designing, optimizing, and maintaining scalable data pipelines that drive business intelligence and operational efficiency.

Role & Responsibilities :

- Design, develop, and maintain robust AWS-based data pipelines using Python and PySpark.

- Implement efficient ETL processes, ensuring data integrity and optimal performance across AWS services (S3, Glue, EMR, Redshift).

- Collaborate with cross-functional teams to integrate data engineering solutions within broader business-critical applications.

- Troubleshoot and optimize existing data workflows, ensuring high availability, scalability, and security of cloud solutions.

- Exercise best practices in coding, version control, and documentation to maintain a high standard of engineering excellence.

Skills & Qualifications :

Must-Have : 4+ years of hands-on experience in AWS data engineering with proven expertise in Python and PySpark.

Must-Have : Proficiency in developing and maintaining ETL processes, using AWS services such as S3, Glue, EMR, and Redshift.

Must-Have : Strong problem-solving skills and a deep understanding of data modeling, data warehousing concepts, and performance optimization.

Preferred : Experience with AWS Lambda, Airflow, or similar cloud orchestration tools.

Preferred : Familiarity with containerization, CI/CD pipelines, and infrastructure-as-code (e.g., CloudFormation, Terraform).

Preferred : AWS certifications or equivalent cloud credentials.

Benefits & Culture Highlights :

- Work in a collaborative, fast-paced environment that rewards innovation and continuous improvement.

- Enjoy opportunities for professional growth and skill development through ongoing projects and training.

- Benefit from competitive compensation and the ability to work on transformative cloud technology solutions