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Azure DataOps Engineer
3 months ago
Title: Azure DataOps Engineer
Duration: Full-time
Location: Mumbai (Remote flexibility)
Experience minimum 4 years working with the below mentioned skills:
We are seeking a skilled Azure DataOps Engineer to join our dynamic team. The ideal candidate will be responsible for designing, implementing, and maintaining scalable data solutions on Microsoft Azure, ensuring data pipelines and workflows are robust, automated, and efficient. You will collaborate with cross-functional teams to support data operations and drive continuous improvement in our data infrastructure.
Key Responsibilities:
- Design and implement scalable data pipelines using Azure Data Factory, Azure Databricks, and Azure Synapse Analytics.
- Manage data storage solutions on Azure, including Azure Data Lake, Azure Blob Storage, and SQL databases.
- Automate infrastructure deployment using Infrastructure as Code (IaC) tools like Terraform, ARM templates, or Bicep.
- Develop and maintain CI/CD pipelines for data integration and deployment using Azure DevOps.
- Monitor, troubleshoot, and optimize data workflows, ensuring high availability and performance.
- Implement security best practices using Azure Security Center, Azure Key Vault, and other Azure security tools.
- Collaborate with data scientists, engineers, and business stakeholders to deliver data solutions that meet organizational goals.
Qualifications:
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- 3+ years of experience in data engineering or a related role, with a focus on Azure services.
- Proficiency in Python, SQL, and scripting for automation.
- Strong understanding of DevOps principles, particularly within a data engineering context.
- Excellent problem-solving and communication skills.