Strong experience with Databricks, Spark, and PySpark, Proven expertise in building data pipelines and distributed data processing systems, Deep understanding of data lake / Lakehouse architectures, Strong SQL and data modeling skills,Experience working with cloud platforms (AWS or equivalent), Familiarity with data platform design, scalability, and performance optimization.Responsible for building and scaling a cloud-based data platform, with a strong focus on Databricks, data pipelines, and secure architecture.This role combines engineering, platform design, and data governance, with an expectation of ownership from design through implementation.Design and implement scalable data pipelines for batch and streaming use cases, Build and optimize Databricks-based data platform architecture, Define and implement data models and Lakehouse design patterns, Lead platform scalability, performance tuning, and cost optimization efforts.DataBricks, Spark, and PySpark, SQL, Deep understanding of data lake / Lakehouse architectures, AWS, data pipelines and distributed data processing systems, data modeling skills, data platform design, scalability, and performance optimization.
Not specified in the original listing.
Not specified in the original listing.
