Dear Professionals
Greetings from Tata consultancy Services,
Job Title : Python PySpark & Automation Engineer
Experiernce: 6 to 10 Years
Location: PAN India
Mode of Work : Work from Office
Mode of Interview: Virtual

If you are Interested in the above prospect kindly share your updated resume to [email protected] immediately with the details below (Mandatory)

Name:
Contact No.
Email id:
Skillset:
Total exp:
Relevant Exp:
Fulltime highest qualification (Year of completion with percentage scored):
Current organization details (Payroll company):
Current CTC:
Expected CTC:
Notice period:
Current location:
Preffered Location
Any gaps between your education or career (If yes pls specify the duration):
Will you be able to join within 30/45 days? (Yes/NO)

Key Responsibilities

Job Description: Python PySpark & Automation Engineer

Role: Python PySpark & Automation Engineer
Experience: 6 to 10 Years
Location: PAN India

Job Summary

We are seeking an experienced Python PySpark & Automation Engineer with strong expertise in designing, developing,



and optimizing large-scale data processing solutions. The ideal candidate should have experience in automation frameworks, scripting, cloud platforms, and data engineering practices.

Required Skills
- Python Programming
- PySpark
- Automation Framework Development
- Data Engineering & ETL Processes
- SQL and Database Management
- Shell Scripting
- CI/CD Pipelines (Jenkins, GitHub Actions, Azure DevOps)
- REST API Development & Integration
- Cloud Platforms (AWS/Azure)
- Git Version Control
- Test Automation (PyTest, Robot Framework, Selenium preferred)

Key Responsibilities
- Develop and maintain scalable data pipelines using Python and PySpark.
- Design and implement automation solutions to improve operational efficiency.
- Build reusable automation frameworks and scripts.
- Optimize Spark jobs for performance and scalability.
- Develop and consume REST APIs for system integrations.
- Collaborate with data engineers, devel

📌 Python Pyspark (India)
🏢 Tata Consultancy Services
📍 India