Description

You will design and implement large-scale cloud data hubs, lakes, and analytical stores using Azure Databricks and Delta Lake.

This role is on-site.

Responsibilities

• Architect and build data engineering solutions on Azure Databricks, Spark, and Delta Lake.
• Implement CI/CD pipelines and automated deployment practices using Azure DevOps.
• Write production-grade code in Python, Scala, and SQL for data transformation and analytics.
• Collaborate with stakeholders to define technical requirements and drive implementation.

Required Skills

• 15+ years of experience in data engineering, data architecture, or platform engineering.
• Strong hands-on expertise with Azure Databricks, Spark, Python, Scala, and SQL.
• Proven experience designing cloud data lakes and analytical data stores.
• Experience with Azure DevOps, CI/CD, and automated deployment.
• Ability to work directly on technical implementation rather than just oversight.

Preferred Skills

• Experience in financial services or insurance.
• Knowledge of Event Hub, Cosmos DB, Azure Synapse, or other Azure analytics services.
• Databricks or Microsoft Azure certifications.

Key Skills

Education

Any Graduate