Back
Tier-1 brand plus mid-senior Databricks specialization yields moderate competition.
Databricks and cloud skills transferable, but finance experience moderately preferred.
Explicit 7+ years plus mandatory Databricks, PySpark, and cloud experience enforces strict filters.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, develop, and deploy high throughput, configurable data pipelines on Databricks using SQL & Scala/PySpark.
Build and optimize end-to-end data ingestion (streaming, batch, event-driven) and ETL pipelines on cloud infrastructure (Azure/AWS).
Manage full software development lifecycle including design, coding, testing, deployment, troubleshooting, and performance tuning of Databricks jobs.
7+ years overall IT experience with 5+ years in Data Engineering handling large datasets.
5+ years hands-on experience with Databricks SQL and Scala/PySpark.
5+ years of cloud-based development experience using Azure or AWS.
Bachelor’s Degree in Computer Science or related IT field.
Demonstrates expertise in end-to-end data lakehouse solutioning with Databricks on cloud platforms.
Experienced in troubleshooting DevOps pipelines and Azure services in production environments.
Capable of collaborating across geographically distributed teams and working with financial industry data.