Senior Data Engineer

ITC Infotech; Pune District; On-site; INR 2,800,000 - 3,800,000; Full time

Job summary

ITC Infotech is seeking an experienced AWS Data Engineer to join a high-impact data transformation program. You will design and optimize scalable ETL pipelines on AWS, build data transformation frameworks, and develop cloud orchestration using Step Functions and EventBridge.

You will maintain S3-based Data Lake architectures, enforce IAM security, and collaborate with business and application teams to deliver enterprise-grade data solutions.

Qualifications

• 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 with AWS orchestration services.

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.
• 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.

Skills

ETL Development

AWS Glue (PySpark)

AWS Step Functions

Terraform (IaC)

IAM & Security Best Practices

S3-based Data Lakes

Tools

Terraform

EventBridge

Job description

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
• 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

• ETL Development & Complex Data Transformations
• AWS Step Functions
• Terraform (Infrastructure as Code)
• AWS IAM & Security Best Practices
• Experience with S3-based Data Lakes

Good to Have

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
• Hands-on exposure to AWS orchestration services
• Experience implementing security and governance controls on AWS
• Strong problem-solving and stakeholder management skills

Why Join ITC Infotech?

• Work on enterprise-scale cloud transformation programs
• Opportunity to build modern AWS Data Platforms
• Collaborate with global teams and cutting-edge technologies
• Accelerated career growth in a high-demand cloud ecosystem