Azure Data Engineer

Viraaj HR Solutions Private Limited; Bengaluru; On-site; INR 1,500,000 - 2,700,000; Full time

Job summary

Viraaj HR Solutions Private Limited is seeking a skilled data engineer to design and manage cloud-based data pipelines on Microsoft Azure. You will work with Azure Data Factory, Databricks, and Synapse Analytics to build scalable solutions that support real-time analytics for global clients.

Collaborate with data scientists and analysts to operationalize models with Azure ML, MLflow, and Delta Lake, while using IaC (Terraform or ARM templates) to automate deployment and ensure security and

Qualifications

• Must have Azure Data Factory.
• Must have Azure Databricks.
• Must have Azure Synapse Analytics.
• Must have PySpark.
• Must have SQL.
• Must have Python.
• Must have Terraform.
• Must have Git.
• Preferred: Azure ML.
• Preferred: Delta Lake.
• Preferred: MLflow.

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 IaC tools like Terraform or ARM templates.
• Partner with cross-functional teams to translate business requirements into technical data architecture blueprints.

Tools

Azure Data Factory

Azure Databricks

Azure Synapse Analytics

PySpark

SQL

Python

Terraform

Git

Azure ML

Delta Lake

MLflow

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