Aws Data Engineer

Experience: 5-10 Years
Location: Any ITC Infotech location (Mumbai - Lower Parel)

Work Mode: All 5 days working from Office
Notice Period: Immediate Joiners to 30 Days Preferred

Job Summary

We are seeking an experienced AWS Data Engineer with strong expertise in designing, developing, and optimizing cloud-native data solutions on AWS. The ideal candidate will have hands-on experience building scalable ETL pipelines, implementing data quality frameworks, and developing event-driven data architectures using AWS services.

The role involves working closely with business and technology teams to build reliable, secure, and high-performing data platforms.

Key Responsibilities

• Design, develop, and maintain scalable ETL pipelines using AWS Glue (PySpark).
• Build and manage complex data transformation workflows across large datasets.
• Develop orchestration workflows using AWS Step Functions and AWS EventBridge.
• Implement Infrastructure as Code (IaC) solutions using Terraform.
• Design and optimize data models for analytical and operational use cases.
• Develop robust data validation, reconciliation, and data quality frameworks.
• Build and maintain secure AWS environments following IAM and security best practices.
• Create and manage S3-based data lake solutions.
• Collaborate with cross-functional teams to deliver reliable and scalable cloud data platforms.
• Participate in architecture discussions and technology improvements.

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

Good-to-Have Skills

• AWS Lake Formation
• Data Governance Frameworks
• DynamoDB
• Metadata-driven ETL Architecture
• Event-driven Architecture
• CI/CD Tools and DevOps Practices

Desired Candidate Profile

• 5-10 years of overall experience in Data Engineering.
• Minimum 5 years of hands-on experience with AWS Data Engineering technologies.
• Strong expertise in designing enterprise-scale data pipelines and data lake solutions.
• Experience with metadata-driven ETL frameworks.
• Strong understanding of cloud security, governance, and data quality principles.
• Excellent problem-solving and stakeholder management skills.