Azure Data Engineer

Viraaj HR Solutions Private Limited

Delhi

On-site

INR 1,200,000 - 1,800,000

Full time

9 days ago

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Benefits offered by this job

Azure certification sponsorship
Mentorship from Azure architects
On-site collaboration

Job summary

Viraaj HR Solutions Private Limited is seeking a seasoned data engineer to design, build, and optimize scalable Azure data pipelines and analytics infrastructure. You will partner with data scientists to operationalize ML models and ensure governance, security, and reliability across data workloads.

Join an on-site, collaborative environment where your work supports Fortune 500 clients. The role offers opportunities to grow through Azure certification sponsorship and hands-on experience with

Qualifications

  • Experience designing and building scalable Azure data pipelines.
  • Strong SQL and Python skills for data processing and analytics.
  • Hands-on experience with Databricks and Synapse Analytics for data workloads.

Responsibilities

  • Design, build, and maintain scalable Azure data pipelines using Azure Data Factory, Databricks, and Synapse Analytics.
  • Optimize data workflows for performance, cost, and reliability across batch and streaming workloads.
  • Implement data governance, lineage, and security using Azure Purview and RBAC.
  • Collaborate with data scientists to operationalize ML 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 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.

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

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