AWS Data Engineer – Python || Pune/Hyderabad

AWS Data Engineer – Python || Pune/Hyderabad

19 Aug
|
Innova ESI
|
Hyderabad

19 Aug

Innova ESI

Hyderabad

– 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 – Solid 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.

📌 AWS Data Engineer – Python || Pune/Hyderabad
🏢 Innova ESI
📍 Hyderabad

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