Lead Data Engineer - Python/SQL

: - 8+ yrs of experience in data engineering with 23 yrs in a lead or architect role. - Experience in Microsoft Fabric, ADF, DWH, Databricks, PySpark, Snowflake, and Power BI. - Strong in SQL and Python/Scala. - Experience with Azure, AWS, and GCP. - Notice Period: Immediate. Key Responsibilities : - Architect and deploy end-to-end data pipelines using Azure Data Factory and Spark to streamline data ingestion and transformation for enterprise-level reporting. - Design and maintain high-performance Lakehouse architectures utilizing Delta Lake and Azure Data Lake Storage to ensure data integrity and accessibility. - Lead the migration and optimization of legacy data warehouses into modern Fabric-based environments to enhance query performance and reduce operational latency. - Implement MLOps best practices by integrating ML Flow into data workflows, enabling seamless model deployment and lifecycle management for data science teams. - Mentor junior engineers and conduct rigorous code reviews to maintain high standards of software engineering and data quality across all projects. - Partner with business stakeholders to identify data bottlenecks and implement automated solutions that improve overall data throughput and reliability.