Verified today
Data Engineer (AWS)
About the role
Seeking experienced Data Engineer (AWS) to design, develop, and maintain scalable ETL pipelines and data warehouse solutions using AWS services, SQL, Python, PySpark, and PostgreSQL. Responsibilities include building data models, ensuring data quality, and collaborating with cross-functional teams. Must have 3-5 years in data engineering, strong SQL and RDBMS skills, AWS S3/Glue experience, and domain knowledge in Finance or Manufacturing.
What you’ll do
- Design scalable ETL pipelines with AWS services
- Extract, transform, load data into warehouses
- Use S3 and Glue for storage and processing
- Write optimized SQL for transformation & reporting
- Build & maintain data models in PostgreSQL/RDBMS
- Process large datasets with Python & PySpark
- Ensure data quality, integrity, performance
- Collaborate with cross-functional teams on data needs
- Troubleshoot & resolve pipeline issues
What you’ll bring
- 3-5 yrs Data Engineering/ Warehousing experience
- SQL & RDBMS expertise; PostgreSQL knowledge
- Python & PySpark proficiency
- AWS services (S3, Glue) experience
- ETL process understanding
- Power BI & DAX experience
- Finance/Manufacturing domain exposure
- Strong communication, problem-solving, fast-paced adaptability