Azure Data Engineer

Viraaj HR Solutions Private Limited; Kolkata Metropolitan Area; On-site; INR 1,500,000 - 2,800,000; Full time

Benefits offered by this job

On-site mentorship

Azure certification sponsorship

Job summary

Viraaj HR Solutions Private Limited seeks an Azure data engineer to design and maintain scalable data pipelines on Microsoft Azure. You will work on ingestion, transformation, and real-time analytics for Fortune 500–style data ecosystems.

Collaborate with data scientists to operationalize ML models using Azure ML, implement governance with Purview and RBAC, and automate deployments with IaC tools like Terraform. This on-site role offers mentorship and growth opportunities.

Qualifications

• Proficiency in designing scalable Azure data pipelines.
• Experience with data governance and security standards.
• Ability to collaborate with data scientists and analysts.

Responsibilities

• Design, build, and maintain scalable Azure data pipelines.
• Optimize data workflows for performance, cost-efficiency, and reliability.
• Implement data governance, lineage, and RBAC controls.
• Collaborate with data scientists to operationalize ML models with Azure ML.
• Automate deployment and monitoring of data infra using IaC tools.
• Translate business requirements into technical data architecture blueprints.

Skills

Azure Data Factory

Azure Databricks

Azure Synapse Analytics

PySpark

SQL

Python

Terraform

Git

Tools

Terraform

Git

Job description

About The Opportunity

A fast-scaling enterprise technology partner specializing in cloud data modernization and AI-driven analytics, we help global clients architect scalable data ecosystems on Microsoft Azure. Our team delivers end-to-end data engineering solutions-from ingestion and transformation to MLops and real-time analytics - powering data-driven decisions for Fortune 500 and mid-market firms across BFSI, healthcare, and retail sectors.

A fast-scaling enterprise technology partner specializing in cloud data modernization and AI-driven analytics, we help global clients architect scalable data ecosystems on Microsoft Azure. Our team delivers end-to-end data engineering solutions-from ingestion and transformation to MLops and real-time analytics - powering data-driven decisions for Fortune 500 and mid-market firms across BFSI, healthcare, and retail sectors.

Role & Responsibilities

• Design, build, and maintain scalable Azure data pipelines using Azure Data Factory, Databricks, and Synapse Analytics.
• Optimize data workflows for performance, cost-efficiency, and reliability across batch and streaming workloads.
• Implement data governance, lineage, and security standards using Azure Purview and RBAC controls.
• Collaborate with data scientists and analysts to operationalize machine learning models via Azure ML and MLflow.
• Automate deployment and monitoring of data infrastructure using Infrastructure-as-Code (IaC) tools like Terraform or ARM templates.
• Partner with cross-functional teams to translate business requirements into technical data architecture blueprints.

Skills & Qualifications

Must-Have

• Azure Data Factory
• Azure Databricks
• Azure Synapse Analytics
• PySpark
• SQL
• Python
• Terraform
• Git

Preferred

• Azure ML
• Delta Lake
• MLflow

Benefits & Culture Highlights

• Work with Fortune 500 clients on cutting-edge Azure data projects impacting global business outcomes.
• On-site collaborative environment with mentorship from Azure-certified architects and data scientists.
• Opportunity to earn Azure Fundamentals, DP-203, or DP-204 certifications sponsored by the company.

Skills: terraform,infrastructure,azure,data