Job Description
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 opportunity kindly share your updated resume to venkatesh.k13@tcs.com immediately with the details below (Mandatory)
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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, developers, and business stakeholders.
- Implement CI/CD pipelines and automation best practices.
- Troubleshoot production issues and provide timely resolutions.
- Ensure code quality through reviews, testing, and documentation.
- Follow Agile development methodologies.
Required Qualifications
- 6 to 10 years of IT experience.
- Strong hands-on experience in Python and PySpark.
- Experience in automation scripting and framework development.
- Strong knowledge of SQL and data processing concepts.
- Experience with AWS or Azure cloud services.
- Familiarity with CI/CD tools and DevOps practices.
- Excellent problem-solving and communication skills.
Preferred Skills
- Databricks
- Airflow
- Docker & Kubernetes
- Selenium Automation
- Terraform
- Machine Learning pipeline automation
