Key Skills: AWS, Python, SQL, Data Engineering, Data Pipelines, Data Processing, ETL, Data Transformation, Data Integration, Data Quality
Roles and Responsibilities:
- Design and maintain data pipelines and data processing workflows on AWS
- Develop Python-based data transformation logic and SQL queries for structured data handling
- Work with source and target datasets to support reporting and analytics use cases
- Build and maintain ETL processes for batch and recurring data movement
- Support data quality checks and troubleshoot data issues across pipeline stages
Experience:
- 5 to 10 years of relevant experience in data engineering
- Strong hands-on experience in AWS, Python, and SQL
- Experience designing data engineering solutions on cloud-based platforms
- Ability to work with large datasets and build scalable data processing workflows
- Experience with ETL development and data integration patterns
Good to Have:
- ETL
Education:
B.E. in Computer Science or related discipline