Senior Data Engineer (AWS + Python + SQL)

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: ₹100,000.00 - ₹150,000.00 per month

Work Location: Remote