Senior Data Engineer
1 week ago
Experience: 7+ years (with minimum 3–4 years hands-on AWS)
Work Timing: 5 PM IST to 1 AM IST
Location: Remote / (Add your location if needed)
Employment: Full-time
We are looking for a highly skilled Senior Data Engineer with strong experience in AWS, SQL, and Python. The ideal candidate will work on large-scale data pipelines, ETL workflows, and cloud-native solutions.
Key Requirements
1. Experience & Skills
- 7+ years of overall experience, with 3–4 years mandatory experience in AWS
- Very strong SQL skills — ability to write complex queries and stored procedures
- Strong Python & PySpark development experience
- Hands-on expertise in AWS services:
- AWS Glue
- AWS Lambda
- Step Functions
- Redshift
- Strong understanding of CI/CD and experience using Git
- Terraform knowledge (hands-on experience preferred)
2. Soft Skills
- Ability to work independently and collaboratively in a fast-paced environment
- Strong communication and analytical thinking
3. Work Shift
- Must be able to work 5 PM IST to 1 AM IST
Responsibilities
- Build and maintain ETL pipelines using AWS Glue & PySpark
- Develop serverless applications using Lambda and Step Functions
- Optimize data warehousing solutions in Redshift
- Write efficient SQL queries and stored procedures
- Implement CI/CD pipelines with Git
- Work with Terraform for IaC (Infrastructure as Code)
- Collaborate with cross-functional teams to deliver scalable data solutions
Job Type: Full-time
Pay: ₹100, ₹150,000.00 per month
Work Location: Remote
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