Job Description

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 strong 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

Positive 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 orchestrati

📌 Senior Data Engineer (Pune)
🏢 Itc Infotech India
📍 Pune