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About the role
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. Skills: data,analytics,etl,cd,devops,azure,cloud
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