Description

You will design scalable cloud data solutions and guide teams to ensure performance and cost-efficiency across platforms.

Responsibilities

• Design and implement scalable cloud data architectures using Azure.
• Lead technical teams through the delivery of complex data projects.
• Optimize data platforms for performance and cost-efficiency.
• Apply Medallion architecture and Unity Catalog to manage data lifecycles.
• Manage end-to-end ETL processes and CI/CD pipelines.

Required Skills

• 10+ years of experience in data engineering, cloud architecture, or governance.
• Recent delivery of at least two Azure-based projects.
• Deep expertise in Databricks, Delta Lake, and Unity Catalog.
• Strong command of SQL, Python, and Spark.
• Experience with Medallion architecture and data modeling using Erwin.
• Proficiency with ETL processes and CI/CD pipelines.
• Hands-on experience with Terraform and ARM templates.
• Familiarity with Kafka and scripting in PowerShell or Python.
• Any Graduate degree.

Preferred Skills

• Knowledge of Conversational BI, NLP, LLMs, and ML frameworks.
• Experience with Power BI, Tableau, or ThoughtSpot.
• Programming knowledge in Java or JavaScript.
• Exposure to Azure Genie and Hive Metastore.

Key Skills

Education

Any Graduate