Job Description
Position: AWS Data Engineer
nExperience: 7-10 Years
nLocation: PAN India (Pune Preferred)
nEmployment Type: Full time
nCompany: ITC Infotech
nNotice Period: Immediate Joiners to 30 Days Preferred
nAre you passionate about building scalable cloud-native data platforms on AWS?
nITC 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.
nKey Responsibilities
n
- n
- Design, develop, and optimize scalable ETL pipelines using AWS Glue (PySpark)n
- Build robust data transformation frameworks for large-scale data processingn
- Develop orchestration workflows using AWS Step Functions and EventBridgen
- Design and maintain S3-based Data Lake architecturesn
- Implement infrastructure automation using Terraformn
- Develop data validation, reconciliation, and quality frameworksn
- Optimize data models for analytics and reporting workloadsn
- Ensure adherence to AWS security,



governance, and IAM best practicesn
- Collaborate with business, data, and application teams to deliver enterprise-grade data solutionsn

nMust-Have Skills
n✅ AWS Glue (PySpark)
n✅ ETL Development & Complex Data Transformations
n✅ AWS Step Functions
n✅ AWS EventBridge
n✅ Terraform (Infrastructure as Code)
n✅ Python
n✅ SQL
n✅ Data Modeling
n✅ Data Validation & Reconciliation Frameworks
n✅ AWS IAM & Security Best Practices
n✅ Experience with S3-based Data Lakes
nGood to Have
n⭐ AWS Lake Formation
n⭐ Data Governance Frameworks
n⭐ DynamoDB
n⭐ Metadata-Driven ETL Architecture
n⭐ Event-Driven Architecture
n⭐ CI/CD Pipelines & DevOps Practices
nIdeal Candidate Profile
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- n
- 7-10 years of Data Engineering experiencen
- Minimum 5 years of AWS Glue (PySpark) experiencen
- Strong background in Data Lake and Cloud Data Engineeringn
- Experience designing

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