Job Title: Cloud Data Engineer

Experience: 5+ Years

Location: Chennai

Employment Type: Full time

About the Role

Qeagle is seeking an experienced Cloud Data Engineer to design, develop, and maintain scalable, enterprise-grade data solutions on Microsoft Azure. The ideal candidate will be responsible for building robust data pipelines, integrating multiple data sources, and delivering high-quality data products that support analytics, reporting, business intelligence, and machine learning initiatives.

Key Responsibilities

- Design, develop, and maintain scalable data pipelines on Microsoft Azure.
- Build enterprise-grade data products for analytics, reporting, and business intelligence.
- Integrate data from databases, APIs, applications, files, and third-party platforms.
- Develop batch and near real-time data processing solutions.
- Implement data transformation, validation, cleansing, and enrichment logic.
- Design and maintain Data Lake, Data Warehouse, and Lakehouse solutions.
- Develop reusable ingestion and transformation frameworks.
- Ensure data quality, reliability, scalability, and performance of data pipelines.
- Implement monitoring, logging, alerting, and operational support mechanisms.
- Collaborate with Data Architects, Analysts, and Business Stakeholders.




- Support CI/CD implementation for data engineering workloads.
- Troubleshoot production issues and optimize cloud resource utilization.
- Maintain technical documentation and architecture diagrams.

Mandatory Skills

- 5+ years of experience in Data Engineering or Cloud Data Engineering.
- Strong hands-on experience with Microsoft Azure Data Services.
- Advanced SQL skills.
- Strong programming experience in Python and PySpark.
- Experience with Azure Data Factory (ADF).
- Experience with Azure Databricks.
- Experience with Azure Synapse Analytics.
- Experience with Data Lakes, Data Warehousing, and Lakehouse Architecture.
- Experience with REST API integrations.
- Strong understanding of Data Quality and Data Governance.
- Experience working with structured and unstructured data.

Technical Skills

- Microsoft Fabric
- Delta Lake
- Azure Functions
- Azure Event Hubs / Kafka
- Azure SQL Database
- Azure DevOps
- GitHub
- Terraform
- Docker
- Kubernetes
- Apache Spark
- Power BI Integration
- Microsoft Purview

Qualification

- Bachelor's Degree in Computer Science, Information Technology, Data Engineering, Software Engineering, or related discipline.
- Azure Data Engineer certifications are an added advantage

📌 Cloud Data Engineer (Chennai)
🏢 qeagle Assurance
📍 Chennai