Azure DevOps Engineer
2 days ago
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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