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