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Tata Consultancy Services Linkedin · Posted 2d ago

Data Engineer

India

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Indexed description

(Azure Data Platform Engineer)

Location: Mumbai

Exp- 6 to 10 years

Job Description:

We are seeking a highly skilled Azure Data Platform Engineer with expertise in cloud infrastructure automation, DevOps practices, and modern analytics platforms. The ideal candidate will be responsible for supporting, automating, and optimizing enterprise-scale data platforms while ensuring high availability, performance, and operational excellence.

Key Responsibilities

  • Design, implement, and maintain Infrastructure as Code (IaC) solutions using Terraform and Ansible.
  • Develop and manage CI/CD pipelines using Azure DevOps.
  • Automate operational and deployment processes using Python and PySpark.
  • Support and administer cloud-based analytics platforms including Azure Databricks, Azure Synapse Analytics, and Snowflake.
  • Monitor, troubleshoot, and resolve platform, application, and data pipeline issues.
  • Collaborate with Data Engineering teams to optimize platform performance, reliability, and scalability.
  • Perform root cause analysis and implement preventive measures for recurring incidents.
  • Support database administration activities, including performance tuning, query optimization, and maintenance.
  • Ensure adherence to security, compliance, and operational best practices.
  • Create and maintain technical documentation, runbooks, and operational procedures.

Required Skills

  • 4-7 years of experience in Cloud Engineering, DevOps, Platform Engineering, or Data Platform Support.
  • Hands-on experience with:
  1. Azure DevOps
  2. Infrastructure as Code (IaC)
  3. Terraform
  4. Ansible
  5. Python / PySpark
  • Good understanding of Azure cloud services and resource management.
  • Experience supporting production environments with strong troubleshooting skills.
  • Knowledge of SQL and database concepts.
  • Understanding of Data Engineering concepts and data processing frameworks.

Preferred Skills

  • Hands-on experience with:
  • Azure Databricks
  • Azure Synapse Analytics
  • Snowflake
  • Databricks certification/accreditation is highly preferred.
  • Experience supporting enterprise data engineering environments.
  • Strong SQL development and troubleshooting skills.
  • Database Administration (DBA) experience.
  • Knowledge of data warehousing and modern analytics architectures.

Experience

  • 4+ years of experience in Cloud, DevOps, Platform Engineering, or Data Engineering support roles.
  • Experience supporting production environments and handling incident management.
  • Exposure to large-scale enterprise data platforms is preferred.

Preferred Qualifications

  • Azure Certifications.
  • Databricks Certification.
  • Experience with Agile and DevOps methodologies.


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