Walk In | Azure DevOps with Python

Tata Consultancy Services; Chennai District; On-site; INR 1,400,000 - 2,000,000; Full time

Job summary

Tata Consultancy Services in Chennai, India, is hiring a Senior DevOps Engineer with strong Python and Azure Cloud skills. The role focuses on building scalable infra, automating deployments, and supporting data workflows using Bicep, ADF, and Airflow.

Walk-in on 05-September-26 at TCS Chennai - Siruseri. Ideal candidates have 6–12 years of experience, proficiency in Python (Pytest) and Azure services, and hands-on CI/CD with modern tooling.

Qualifications

• 6+ years of DevOps experience with cloud-based infrastructures.
• Strong Python programming with Pytest.
• Experience with Azure Data Factory, Databricks, Airflow.
• Experience building CI/CD pipelines and automated deployments.

Responsibilities

• Build scalable infrastructure on Azure.
• Automate deployments and CI/CD workflows.
• Support data engineering pipelines with ADF and Airflow.
• Work with Databricks for data processing.

Skills

Python

Databricks

Azure Cloud

Apache Airflow

CI/CD

GitHub Actions

Azure DevOps

GitLab CI

Jenkins

Docker

Kubernetes

Pytest

Tools

Azure Data Factory

Databricks

Job description

Role- Azure DevOps with Python

Experience: 6 - 12 Years

Walk In Venue: TCS Chennai - Siruseri

Walk In Date - 05-September-26 (Saturday)

Role Summary

Senior DevOps Engineer with strong expertise in Python, Databricks, Azure Cloud, and data workflow orchestration.

This role will focus on building scalable infrastructure, automating deployments, and supporting data engineering pipelines using Bicep, Azure Data Factory (ADF), and Apache Airflow. Also working on the data using databricks.

Required Skills

• Programming: Advanced Python with Pytest
• Cloud: Azure: ADF, Azure Functions, Azure DevOps, Azure Monitor, Key Vault, Databricks,Blob storage and ADLS.
• CI/CD & Deployment: CI/CD pipelines integrating Python apps, ADF pipelines, and Airflow DAGs.
• Implement automated testing, security scanning, and deployment workflows.
• Use tools like GitHub Actions, Azure DevOps, GitLab CI, or Jenkins.
• Docker & Kubernetes: Containerization and orchestration.
• Workflow Orchestration :Apache Airflow: DAG creation, scheduling, monitoring.
• Azure Data Factory: Pipeline design, data movement, transformation.