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
