Azure Data Engineer

Viraaj HR Solutions Private Limited; Maharashtra; On-site; INR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Mentorship

Certification sponsorship

Job summary

Viraaj HR Solutions Private Limited is seeking a skilled Data Engineer to design and maintain scalable Azure data pipelines.

You will optimize batch and streaming workflows, implement governance and security, and collaborate with data scientists to operationalize ML models using Azure ML and MLflow. IaC tooling with Terraform/ARM will automate deployments and monitoring.

Qualifications

• Proficient with Azure Data Factory, Databricks and Synapse Analytics.
• Strong skills in PySpark, SQL and Python.
• Experience with Terraform and Git for code management and IaC.

Responsibilities

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

Skills

Azure Data Factory

Azure Databricks

Azure Synapse Analytics

PySpark

SQL

Python

Terraform

Git

Azure ML

Delta Lake

MLflow

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.

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