About The Opportunity
A fast-growing technology services firm operating at the intersection of cloud infrastructure and enterprise data engineering, we build scalable, secure, and future-ready data platforms for global clients. Specializing in Microsoft Azure ecosystems, our teams design and deploy end-to-end data pipelines, data lakes, and cloud-native analytics solutions that empower data-driven decision-making—fast, reliable, and cost-optimized.
Role & Responsibilities
- Design, build, and maintain scalable data pipelines using Azure Data Factory, Azure Databricks, and Synapse Analytics to ingest, transform, and deliver enterprise data.
- Develop and optimize data models in Azure SQL DB, Azure Data Lake Storage, and Delta Lake formats for high-performance analytics and reporting.
- Implement data governance, quality checks, and lineage tracking using Azure Purview and custom monitoring dashboards.
- Automate ETL/ELT workflows with Azure Functions, Logic Apps, and Python scripts; integrate with REST APIs and SaaS data sources.
- Collaborate with data scientists and analysts to provision curated datasets for ML/AI models and real-time dashboards.
- Ensure infrastructure-as-code (IaC) practices using ARM templates or Bicep; deploy and manage Azure resources via CI/CD pipelines.
Skills & Qualifications
- Must-Have
- Azure Data Factory
- Azure Databricks
- Azure Synapse Analytics
- SQL Server / Azure SQL
- Python scripting
- ETL/ELT pipeline design
- Data Lake / Delta Lake
- ARM/Bicep templates
- Preferred
- Azure Purview
- PySpark
- Power BI integration
Benefits & Culture Highlights
- On-site collaborative workspace with modern tech infrastructure and innovation labs.
- Access to Microsoft-certified training paths and Azure certification sponsorships.
- Opportunities to work with Fortune 500 clients across BFSI, Retail, and Healthcare sectors.
Skills: databricks,pyspark,infrastructure,sql,azure
