Azure Data Engineer - Java

Job highlights

• Strong programming experience in Java or C#/.NET. Object-Oriented Programming (OOP) concepts. REST APIs and Microservices architecture. SQL and data modeling
• Required Skills. Azure Data Engineering
• Azure DevOps. CI / CD Pipelines. Git. Docker and Kubernetes (preferred)
• SQL Server,Azure SQL Database. NoSQL databases such as Cosmos DB or MongoDB (preferred)

Job Summary

We are seeking an experienced Azure Data Engineer with a strong background in Java or C# software development to design, build, and maintain scalable cloud-based data solutions. The ideal candidate will have hands-on expertise in Azure data services, ETL/ELT pipelines, data warehousing, and cloud-native application development. You will collaborate with cross-functional teams to deliver high-quality data platforms that support analytics, reporting, and business-critical applications.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines using Azure Data Factory (ADF), Azure Databricks, and Azure Data Lake.
• Build and optimize ETL/ELT frameworks for processing large-scale structured and unstructured data.
• Develop reusable components and services using Java or C#/.NET.
• Work with Azure services such as Blob Storage, Azure Functions, Event Hub, Synapse Analytics, and Key Vault.
• Implement data integration solutions across multiple enterprise systems.
• Collaborate with DevOps teams to automate deployments using Azure DevOps CI/CD pipelines.
• Optimize data processing performance, reliability, and scalability.
• Ensure data quality, governance, security, and compliance standards are met.
• Participate in design reviews, code reviews, troubleshooting, and production support activities.

Required Skills

Azure Data Engineering

• Azure Data Factory (ADF)
• Azure Databricks (Spark/PySpark)
• Azure Data Lake Storage (ADLS)
• Azure Synapse Analytics
• Azure Functions
• Event Hub / Kafka

Development

• Strong programming experience in Java or C#/.NET
• Object-Oriented Programming (OOP) concepts
• REST APIs and Microservices architecture
• SQL and data modeling

DevOps Cloud

• Azure DevOps
• CI/CD Pipelines
• Git
• Docker and Kubernetes (preferred)

Databases

• SQL Server, Azure SQL Database
• NoSQL databases such as Cosmos DB or MongoDB (preferred)

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.