Azure DevOps Engineer

3 days ago


Jodhpur, India Syncpoint360 Full time

Role & responsibilities


  • Design, develop, and maintain large-scale data processing systems and pipelines using Azure Data Services (Data Factory, Data Lake, Synapse, Databricks) and big data technologies (Spark, Kafka).
  • Lead the implementation of Azure DevOps CI/CD pipelines for automated build, test, and deployment processes, ensuring data integrity, scalability, and performance.
  • Collaborate with cross-functional teams to architect, build, and optimize Azure-based data platforms for large volumes of structured and unstructured data.
  • Manage data ingestion, transformation, and orchestration pipelines using ETL/ELT processes and Azure-native services (Storage, Blob Storage, Databricks).
  • Implement Infrastructure as Code (IaC) with Terraform or ARM templates to automate and manage cloud infrastructure.
  • Ensure data security, encryption, and compliance (GDPR, HIPAA) in collaboration with the security team, adhering to Azure Security Center protocols.
  • Troubleshoot and optimize data workflows using Azure Monitor, Log Analytics, and Application Insights for performance, reliability, and scalability.
  • Develop and maintain data models and database designs aligned with business needs for optimal performance and scalability.


Preferred candidate profile


  • 8+ years of experience in data engineering, cloud architecture, and DevOps, with a focus on Azure technologies.
  • Expertise in Azure DevOps, including CI/CD pipeline development, version control with Git, and automation using Azure Pipelines and Terraform/ARM templates.
  • Hands-on experience with Azure Data Services: Azure Data Lake, Azure SQL, Azure Synapse Analytics, Azure Databricks, and Azure Data Factory.
  • Experience with automating scripts using PowerShell.
  • Strong proficiency in programming languages such as Python, Java or Scala, and SQL.
  • Experience with big data tools (e.g., Spark, Kafka) and real-time data processing.
  • Proven track record of managing data migrations, transformations, and orchestrations in large-scale environments.
  • Experience with cloud architecture and hybrid cloud scenarios, with a focus on performance tuning, cost optimization, and scalability.
  • Familiarity with database technologies such as SQL Server, PostgreSQL, and NoSQL databases (e.g., Cosmos DB, MongoDB).
  • Knowledge of data security and compliance standards (GDPR, HIPAA) and experience implementing encryption and access control protocols.
  • Strong experience in Agile development practices and collaboration tools like Jira and Confluence.
  • Certifications in Azure DevOps, Azure Data Engineer, or related cloud technologies.
  • Familiarity with other cloud platforms like AWS or Google Cloud.



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