Full-Time Azure Data Engineer

• Design, implement, and optimize Azure-based architectures for data platforms.
• Configure and manage Azure Databricks environments.
• Build and orchestrate data pipelines using tools such as Azure Data Factory, Delta Lake, and Databricks workflows.
• Apply strong security configuration practices, including the use of Azure Key Vault, RBAC, private endpoints, and network security settings.
• Ensure compliance with data governance standards and internal security policies.
• Analyze and troubleshoot cloud-based data workflows for performance and reliability.
• Define and implement Infrastructure as Code and CI/CD pipelines for deployment and lifecycle management of data components.

• Building and orchestrating data pipelines (ADF, Azure Databricks)
• Data processing and transformation (batch and streaming)
• Scripting in Python or Scala
• Configuring clusters, and optimizing workloads for performance and cost.
• Creating and managing complex ETL/ELT workflows, with secure integration across hybrid and multi-cloud environments.

• Firewall rules, linked services, and data movement strategies.
• Azure Storage Accounts, including Blob Storage and Data Lake Storage, with hands-on experience managing metadata, access tiers, lifecycle policies, and securing storage via SAS tokens and RBAC.

• Cost optimization, automation, and secure resource management.
• Managing secrets, certificates, and encryption keys, with automated key rotation and seamless integration with other Azure services.
• Designing and enforcing access controls through custom roles, resource scopes, and principle of least privilege strategies.

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