Walk-in | Python with Azure

Tata Consultancy Services

Chennai District

On-site

INR 1,200,000 - 2,400,000

Full time

10 days ago
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Job summary

Tata Consultancy Services in Chennai is seeking a Senior DevOps Engineer with 5-12 years of experience. The role focuses on building scalable infrastructure, automating deployments, and supporting data pipelines using Azure Data Factory, Airflow, and Databricks.

Key tech scope includes Python, Azure Cloud, Bicep, Docker/Kubernetes, and CI/CD automation with GitHub Actions, Azure DevOps, GitLab CI or Jenkins. Walk-in interview at TCS Siruseri on 5-September-2026.

Qualifications

  • Experience with DevOps practices and CI/CD pipelines.

Responsibilities

  • Build scalable infrastructure and automate deployments.
  • Support data engineering pipelines using Bicep, Azure Data Factory, and Apache Airflow.
  • Work with Databricks and Azure cloud services to manage data workflows.

Job description

Job Description(WALK-IN -Chennai)
Python With Azure

Exp: 5-12 years

Location: Chennai

Walk In Details: Siruseri Chennai-TCS Office on 5-September-2026

Job description
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.

Skills
Programming:
  • Advanced Python with Pytest
Cloud:
  • Azure: ADF, Azure Functions, Azure DevOps, Azure Monitor, Key Vault, Databricks,Blob storage and ADLS.
  • Bicep: Azure-native IaC for declarative infrastructure.
CI/CD & Deployment
  • Architect 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.
Monitoring & Logging:
  • ELK Stack, Azure Monitor, Datadog.
Security & Compliance:
  • IAM, RBAC, secrets management.
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