Lead Data Engineer

• Data Pipeline Development: Design and implement data ingestion, integration, and transformation pipelines

• Cloud Architecture: Build scalable data structures using Azure services and cloud-native tools

• DevOps Management: Manage CI/CD pipelines and support automated deployments

• Data Engineering: Develop solutions using Azure ADF, ADLS, Databricks, SQL, and SAP Data Services

• System Design: Architect Data as a Service frameworks across enterprise systems

• Collaboration: Work with analysts, architects, and business stakeholders for requirements gathering

• Infrastructure Development: Support cloud and edge-based data infrastructure

• Performance Optimization: Ensure scalability, reliability, and efficiency of data systems

• Analytics Support: Enable data availability for reporting and analytics teams

• Continuous Improvement: Enhance data engineering processes and automation practices