Description

You will engineer cloud solutions for database, data warehouse, and analytics requirements.

Responsibilities

• Develop best practices for Azure Databricks and database solution implementations.
• Implement SQL PaaS, SQL MI, and SQL IaaS solutions based on end-user requirements.
• Integrate new infrastructure services and participate in automation, consolidation, and centralization projects.
• Translate stakeholder requirements into actionable backlog items and technical roadmaps.
• Maintain high-standard operational documentation, build documents, and compliance procedures.

Required Skills

• 8+ years of experience in data engineering and cloud environments.
• Extensive hands-on experience with Azure services including ADLS, Azure Data Factory, Azure Functions, Synapse, Azure SQL, Azure Databricks, and Azure Data Catalog.
• In-depth knowledge of Azure Databricks internal architecture.
• Proven ability to build ADF pipelines and orchestrate end-to-end Azure cloud deployments.
• Hands-on experience with SQL PaaS, SQL MI, and SQL IaaS.
• Experience securing certificates and cryptographic keys using Azure Key Vault.
• Practical knowledge of Lakehouse and Delta Lake architectures.
• Experience with App Insights, DevOps, CI/CD deployments, and PowerShell.
• Strong understanding of IT security concepts and production environment requirements.

Preferred Skills

• Experience supporting applications and services in shared or virtual environments.

Key Skills

Education

ANY GRADUATE