Senior Azure Databricks Engineer - Spark & Data Platform
Summary
Senior Azure Databricks Engineer designing and optimizing scalable data platforms, owning end-to-end data pipelines and data lake architectures, leading ETL/ELT development, optimizing Spark workloads, and mentoring junior engineers using Azure Databricks and Spark.
Digifloat in Islamabad, Pakistan, is seeking a Senior Databricks Engineer with 7-8 years of experience to design, build, and optimize scalable data platforms. You will own end-to-end data pipelines and data lake architectures, collaborating with stakeholders to deliver reliable, governed data solutions.
You will lead ETL/ELT development, optimize Spark workloads, and mentor junior engineers, while aligning with security, cost, and performance objectives in a modern data environment.