Senior Data Engineer

Data Architecture & Engineering:

• Design end-to-end data solutions using Azure Databricks, PySpark, and Azure Data Factory.
• Build data pipelines with data modeling across bronze, silver, gold layers.
• Optimize Spark and SQL workloads for performance.

Data Integration & Automation:

• Drive automation in data integration using Azure DevOps and CI/CD.
• Build API integrations and real-time ingestion frameworks.
• Develop automated testing frameworks for data jobs.

Analytics & Data Enablement:

• Prepare datasets for BI and analytics using Power BI.
• Implement performance-optimized data models for self-service.
• Provide support to end users on data visualization.

Stakeholder Engagement & Leadership:

• Lead technical design reviews and mentor junior engineers.
• Collaborate with stakeholders to gather data requirements.
• Contribute to architectural roadmaps for the data platform.