01Overview
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 clientsleveraging 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 industriesfrom 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. .
