A fast-scaling organization in the Cloud Data & Analytics / Enterprise Technology sector, building secure, enterprise-grade data platforms and analytics solutions on Microsoft Azure.
We are hiring an Azure Data Engineer to design, build and operate scalable data pipelines, support analytics and enable self-service BI for business stakeholders.
This is an on-site role based in India; candidates must be able to work from client locations and collaborate closely with engineering and analytics teams.
Role & Responsibilities
- Design, develop and maintain end-to-end data ingestion and transformation pipelines using Azure Data Factory and Databricks.
- Implement and optimise data models and warehousing solutions in Azure Synapse Analytics to support reporting and analytics.
- Build and manage data lakes on ADLS Gen2, enforce partitioning, compression and storage best practices for cost and performance.
- Author performant Spark and SQL jobs; troubleshoot job failures and tune queries for throughput and latency requirements.
- Implement CI/CD and infrastructure-as-code for data platform deployments using Azure DevOps or equivalent pipelines.
- Collaborate with Data Scientists and BI teams to productionize data products, implement monitoring, and resolve production incidents.
Skills & Qualifications Must-Have
- Azure Data Factory
- Azure Databricks
- SQL
- Python
Preferred
- Azure Synapse Analytics
- Azure Data Lake.Storage.Gen2
Benefits & Culture Highlights
- Opportunity to work on large-scale Azure data platforms and enterprise analytics projects.
- Collaborative, outcome-focused engineering culture with strong emphasis on operational excellence.
- On-site engagement with cross-functional teams and career growth into data architecture roles.
Skills: sql,python,apache spark,azure,pyspark,adf,adl
