Sr. Databricks Developer

We are seeking an experienced Senior Databricks Developer with strong expertise in Databricks and AWS ecosystems, large-scale data engineering, and modern Lakehouse architecture. The ideal candidate should have hands-on experience building high-volume, production-grade ETL/ELT pipelines, streaming solutions, and scalable data platforms., * Design, develop, and maintain scalable data engineering solutions using Databricks and AWS.

• Implement and optimize Delta Lake and Lakehouse architecture.
• Develop high-performance ETL/ELT pipelines using PySpark and Scala Spark.
• Build and manage high-volume, production-grade data processing workflows.
• Implement real-time and streaming data pipelines using Databricks and Delta Live Tables (DLT).
• Implement and support MLOps solutions within the Databricks ecosystem.
• Apply Data Mesh architecture principles to enterprise data platforms.
• Optimize data processing workloads for performance, scalability, and cost efficiency.
• Monitor and troubleshoot production data pipelines to ensure reliability and data quality.
• Collaborate with data engineering, architecture, and ML teams to deliver enterprise data solutions.

• Deep knowledge of Databricks and AWS ecosystems.
• Strong experience with Delta Lake and Lakehouse Architecture.
• Knowledge of Lakeflow and Lakebase.
• Hands-on expertise in PySpark and Scala Spark.
• High-volume production-grade Databricks ETL/ELT engineering.
• Experience with Streaming and Delta Live Tables (DLT).
• MLOps implementation and experience within Databricks.
• Knowledge of Data Mesh architecture.
• Advanced cost optimization and performance engineering.
• Strong experience as a Databricks and AWS Data Engineer