Data Engineer (Lakehouse)

• Design and implement Lakehouse architecture using Medallion (Bronze, Silver, Gold) data modeling patterns

• Build scalable data pipelines using Databricks, Apache Spark, Delta Lake, and Microsoft Fabric

• Ingest and transform structured and semi-structured data from multiple enterprise systems

• Optimize Spark jobs, Delta tables, and Fabric workloads for performance and cost efficiency

• Ensure data quality, lineage, and reliability across all analytical data layers

• Collaborate with analytics, BI, and business teams to deliver trusted datasets

• Implement best practices for data partitioning, indexing, storage optimization, and query performance

• Support CI/CD pipelines, monitoring, and operational stability of data platforms

• Maintain compliance with security, governance, and quality standards

• Document data models, architectures, and operational procedures

• Provide technical guidance to junior data engineers