AWS Data Engineer – Python || Pune/Hyderabad

Job Description – AWS Data Engineer

Experience: 6–12 Years

Location: Pune / Hyderabad

Work Mode: 3 Days Work From Office (WFO)

Joining: Immediate / Short Notice — less than 15 days

Role: AWS Data Engineer – Python

We are looking for strong AWS Data Engineers with extensive hands-on experience in Python, AWS, SQL, and RESTful APIs . The ideal candidate should have strong experience developing and maintaining cloud-based data applications using AWS services.

This is not a pure Python Developer role. Candidates must have significant hands-on AWS Data Engineering experience.

Mandatory Skills

• Python – Extensive hands-on experience writing production-grade Python scripts/applications
• AWS – Strong hands-on experience with AWS services
• SQL – Strong experience writing complex SQL queries
• RESTful APIs – Good understanding and hands-on experience
• AWS CDK – Experience with infrastructure deployment and automation
• GitHub Actions – Experience with CI/CD pipelines

Strong AWS Experience Required

Candidates should have good hands-on understanding of:

• AWS Lambda
• Amazon SQS
• Amazon S3
• Amazon DynamoDB
• AWS Step Functions
• Amazon API Gateway
• Amazon CloudWatch
• AWS IAM
• AWS KMS
• AWS Glue
• Amazon Athena

Good to Have

• PySpark
• AWS Data Lake
• Amazon Redshift
• CDC (Change Data Capture)
• CI/CD
• Infrastructure as Code
• Enterprise application development and deployment

Key Responsibilities

• Develop scalable applications and data solutions using AWS and Python .
• Design and implement RESTful APIs and cloud-based applications.
• Work extensively with AWS services including Lambda, SQS, S3, Glue, Step Functions, API Gateway, DynamoDB and CloudWatch.
• Write and optimize complex SQL queries for data processing and analytics.
• Understand functional and non-functional requirements and translate them into technical solutions.
• Understand the product roadmap and recommend the best technical approach to achieve business objectives.
• Develop and maintain AWS data pipelines and data lake solutions.
• Maintain existing applications following enterprise architecture and development best practices.
• Implement automated infrastructure deployment using AWS CDK .
• Build and maintain CI/CD pipelines using GitHub Actions .

6–12 years of total IT experience .

Strong experience as an AWS Data Engineer / Cloud Data Engineer .

Extensive hands-on experience with Python + AWS + SQL + REST APIs .

Candidates with strong enterprise/Tier-1 organization experience are preferred.

Experience in AWS Data Engineering, Glue, PySpark, S3 Data Lakes, CDC and Redshift is highly desirable.

Must be comfortable working from office 3 days per week .

Must be available to join immediately or within 15 days .

Pune or Hyderabad candidates preferred.