Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Tier-1 employer and metro hiring raise competition, but Databricks specialization limits applicant pool.
Databricks and cloud skills transferable, but financial industry experience sought increases domain specificity.
Multiple mandatory years and Databricks/cloud skill requirements create strict shortlisting filters.
Design, develop, and deploy high-throughput, configurable data pipelines using Databricks SQL and Scala/PySpark on cloud infrastructure.
Optimize Databricks job performance including query tuning, resource management, and scaling strategies.
Manage end-to-end software development lifecycle including design, coding, testing, deployment, and documentation of data engineering solutions.
7+ years of overall IT experience with 5+ years in Data Engineering handling large datasets.
5+ years of hands-on experience with Databricks using SQL and Scala/PySpark.
5+ years of experience with cloud-based development on Azure and/or AWS.
Bachelor’s degree in computer science, IT, or related field.
Experience with end-to-end data lakehouse solutions using Databricks and strong troubleshooting skills for DevOps pipelines and Azure services.
Familiarity with microservices, API/event-driven architecture, and agile development methodologies.
Experience working in financial industry environments and collaborating with geographically distributed teams.