Job Description
Role Overview:
We are looking for a highly skilled and hands-on Senior Databricks Engineer to join our team. This is a client-facing role requiring strong technical expertise, ownership mindset, proactive communication, and the ability to build scalable enterprise-grade data solutions.
The ideal candidate should have deep experience in Databricks, PySpark, SQL/PLSQL, modern data engineering practices, CI/CD processes, and large-scale distributed data processing. The candidate should be comfortable working in fast-paced environments, troubleshooting complex data engineering problems, and driving optimization initiatives.
Key Responsibilities:
Design, develop, and maintain scalable and high-performance data pipelines using Databricks and PySpark.
Build and manage ingestion frameworks for batch and streaming data workloads.
Develop enterprise-grade data solutions using Delta Lake and Medallion Architecture principles.
Implement and manage data pipelines using DLT (Del...
We are looking for a highly skilled and hands-on Senior Databricks Engineer to join our team. This is a client-facing role requiring strong technical expertise, ownership mindset, proactive communication, and the ability to build scalable enterprise-grade data solutions.
The ideal candidate should have deep experience in Databricks, PySpark, SQL/PLSQL, modern data engineering practices, CI/CD processes, and large-scale distributed data processing. The candidate should be comfortable working in fast-paced environments, troubleshooting complex data engineering problems, and driving optimization initiatives.
Key Responsibilities:
Design, develop, and maintain scalable and high-performance data pipelines using Databricks and PySpark.
Build and manage ingestion frameworks for batch and streaming data workloads.
Develop enterprise-grade data solutions using Delta Lake and Medallion Architecture principles.
Implement and manage data pipelines using DLT (Del...
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