Azure Cloud Data Engineer: Pipelines, Databricks & Synapse

Tata Consultancy Services Limited; Charlotte (NC); On-site; USD 110,000 - 120,000; Full time

Job summary

Tata Consultancy Services Limited in Charlotte, NC is seeking an experienced Azure Cloud Data Engineer to design, build, and maintain scalable data pipelines and analytics solutions on the Azure platform. You will collaborate with DevOps and security teams to ensure secure, cost-efficient cloud infrastructure and robust data architectures.

The role requires 3+ years in Azure data engineering, expertise with ADF, Databricks, Synapse, and strong scripting skills.

Qualifications

• 3+ years of experience in Azure cloud development and management.
• Proficiency with Azure services such as VMs, Storage, and Networking.
• Experience with Infrastructure as Code tools (ARM templates or Terraform).
• Scripting skills in PowerShell, Python, or similar languages.
• Understanding of DevOps practices and CI/CD pipelines.

Responsibilities

• Design, develop, and maintain scalable data pipelines using Azure services (ADF, Databricks, SQL DB, Synapse).
• Design, implement, and manage cloud-based applications on Azure.
• Develop IaC to automate provisioning and management of resources.
• Write and maintain scripts for deployment and automation.
• Monitor and optimize cloud resources for performance and cost efficiency.
• Collaborate with DevOps and security teams to ensure best practices in cloud architecture.
• Troubleshoot and resolve issues related to Azure services and infrastructure.

Skills

Azure Data Factory

Azure Databricks

Azure Synapse Analytics

Python

PowerShell

Terraform

ARM templates

CI/CD pipelines

Spark

Job description

Tata Consultancy Services Limited in Charlotte, NC is seeking an experienced Azure Cloud Data Engineer to design, build, and maintain scalable data pipelines and analytics solutions on the Azure platform. You will collaborate with DevOps and security teams to ensure secure, cost-efficient cloud infrastructure and robust data architectures.

The role requires 3+ years in Azure data engineering, expertise with ADF, Databricks, Synapse, and strong scripting skills.