Azure Data Engineer

Industry Sector: IT services and enterprise data engineering delivering cloud-native analytics, ETL/ELT pipelines, and modern data platform implementations on Microsoft Azure for large enterprise customers. This is an on-site, hands-on engineering role supporting strategic data modernization initiatives across business domains.

• Design, build and maintain scalable ETL/ELT pipelines using Azure Data Factory and Azure Databricks to ingest, cleanse, and transform large datasets.


• Develop PySpark and Python-based data processing jobs; optimize Spark workloads for throughput, latency and cost on Databricks.


• Architect and manage enterprise data storage and warehousing solutions using ADLS Gen2, Azure Synapse Analytics, and Azure SQL Data Warehouse.


• Implement CI/CD and infrastructure-as-code for data platform deployments using Azure DevOps and ARM/Terraform; manage release pipelines and automated testing.


• Establish monitoring, alerting and observability for pipelines and data assets (Log Analytics, Application Insights, metrics) and drive data quality, lineage and security practices.


• Collaborate with data scientists, analysts and cross-functional teams to translate business requirements into performant data solutions; mentor junior engineers and enforce engineering best practices.

• 6+ years of experience in data engineering with significant hands-on work on Microsoft Azure.


• Proven expertise implementing pipelines with Azure Data Factory and Azure Databricks.


• Experience designing solutions in Azure Synapse Analytics and managing data in ADLS Gen2.


• Strong programming skills in Python and PySpark; advanced SQL and query performance tuning.


• Operational experience with CI/CD using Azure DevOps and infrastructure-as-code (ARM/Terraform).


• Familiarity with data governance, security controls (RBAC, encryption), and production monitoring/alerting.

• Microsoft Certified: Azure Data Engineer Associate.


• Experience with streaming platforms (Azure Event Hubs, Kafka) and Delta Lake.


• Background in analytics/visualization platforms such as Power BI or Synapse SQL for reporting.

• On-site role in Hyderabad or Chennai with exposure to enterprise-scale cloud data projects and cross-functional teams.


• Competitive compensation, opportunities for professional certification and technical leadership growth.


• Collaborative engineering culture focused on modern data architectures and continuous improvement.

Location: India Hyderabad / Chennai (On-site). Please apply if you are a hands-on Azure data engineer who thrives on building scalable, production-grade data platforms.