Position: AWS Data Engineer
Experience: 7-10 Years
Location: PAN India (Pune Preferred)
Employment Type: Full-Time
Company: ITC Infotech
Notice Period: Immediate Joiners to 30 Days Preferred
Are you passionate about building scalable cloud-native data platforms on AWS?
ITC Infotech is looking for an experienced AWS Data Engineer to join a high-impact data transformation program. If you have solid expertise in AWS data engineering, ETL development, cloud orchestration, and infrastructure automation, we'd love to connect with you.
Key Responsibilities
Design, develop, and optimize scalable ETL pipelines using AWS Glue (PySpark)
Build robust data transformation frameworks for large-scale data processing
Develop orchestration workflows using AWS Step Functions and EventBridge
Design and maintain S3-based Data Lake architectures
Implement infrastructure automation using Terraform
Develop data validation, reconciliation, and quality frameworks
Optimize data models for analytics and reporting workloads
Ensure adherence to AWS security, governance, and IAM best practices
Collaborate with business, data,



and application teams to deliver enterprise-grade data solutions
Must-Have Skills
✅ AWS Glue (PySpark)
✅ ETL Development & Complex Data Transformations
✅ AWS Step Functions
✅ AWS EventBridge
✅ Terraform (Infrastructure as Code)
✅ Python
✅ SQL
✅ Data Modeling
✅ Data Validation & Reconciliation Frameworks
✅ AWS IAM & Security Best Practices
✅ Experience with S3-based Data Lakes
Good to Have
⭐ AWS Lake Formation
⭐ Data Governance Frameworks
⭐ DynamoDB
⭐ Metadata-Driven ETL Architecture
⭐ Event-Driven Architecture
⭐ CI/CD Pipelines & DevOps Practices
Ideal Candidate Profile
7-10 years of Data Engineering experience
Minimum 5 years of AWS Glue (PySpark) experience
Strong background in Data Lake and Cloud Data Engineering
Experience designing Metadata-Driven ETL Frameworks
Hands-on exposure to AWS orchestration services
Experience implementing security and governance controls on

📌 Senior Data Engineer (Pune)
🏢 ITC Infotech
📍 Pune