Posted:1 day ago|
Platform:
Work from Office
Full Time
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.
Zorba Consulting
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