Azure Data Engineer

Viraaj HR Solutions Private Limited; Dadri; On-site; INR 1,200,000 - 2,300,000; Full time

Job summary

Viraaj HR Solutions Private Limited is seeking a data engineer to design, implement, and optimize Azure-based data pipelines using ADF, Databricks, and Synapse. You will partner with data scientists to operationalize models and ensure scalable, secure data flows across environments.

The role emphasizes governance, cost-aware performance, and IaC-driven deployments with Terraform or ARM templates, plus collaboration with cross-functional teams to translate business needs into robust data

Qualifications

• Experience building scalable Azure data pipelines with ADF, Databricks and Synapse.
• Strong SQL, Python and PySpark skills for data processing.
• Experience with IaC tools (Terraform or ARM templates) and Git for version control.

Responsibilities

• Design, build, and maintain scalable Azure data pipelines.
• Collaborate with data scientists to operationalize ML models via Azure ML and MLflow.
• Implement data governance, lineage, and security using Azure Purview and RBAC.
• Automate deployment and monitoring of data infrastructure with IaC.
• Partner with cross-functional teams to translate business requirements into data architecture blueprints.

Skills

Azure Data Factory

Azure Databricks

Azure Synapse Analytics

PySpark

SQL

Python

Git

Terraform

Tools

Terraform

ARM templates

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