Azure Data Engineer

About the Opportunity
A fast-scaling technology services firm operating in the Enterprise Cloud & Data Engineering space, we build scalable, secure, and high-performance data platforms for global clients—leveraging Azure ecosystem tools to transform raw data into real-time business intelligence. Our engineers architect cloud-native data pipelines, optimize storage & compute, and enable analytics-driven decision-making across industries—from fintech to healthcare to retail. Role & Responsibilities

• Design and deploy scalable Azure data pipelines using Data Factory, Synapse Analytics, and Databricks for ingestion, transformation, and orchestration.


• Develop and maintain data models (star/snowflake schemas) in Azure SQL DB, Azure Synapse, or Azure Data Lake Gen2.


• Automate ETL/ELT workflows with ADF, PowerShell, and Python; ensure data lineage, validation, and quality checks.


• Optimize Azure storage & compute costs by tuning pipelines, partitioning data, and implementing caching strategies.


• Collaborate with data scientists and analysts to deliver curated datasets for ML and BI reporting.


• Implement CI/CD for data pipelines using Azure DevOps, enforce Infrastructure-as-Code (IaC) via ARM/Bicep/Terraform.

Skills & Qualifications

Must-Have

• Azure Data Factory


• Azure Synapse Analytics


• Azure Data Lake Gen2


• SQL


• Python


• ETL/ELT


• CI/CD (Azure DevOps)


• ARM/Bicep/Terraform

Preferred

• Databricks


• Power BI


• Spark SQL

Benefits & Culture Highlights

• On-site collaborative workspace with modern tech infrastructure and flexible work hours.


• Direct exposure to enterprise-grade Azure projects with Fortune 500 clients.


• Structured upskilling programs with Microsoft-certification sponsorship & mentorship.