Back
Metro location and broad Azure/Databricks/Spark skillset create moderate candidate competition.
Core data engineering and cloud skills are highly transferable across industries.
Explicit 6+ years plus mandatory Databricks, Spark, Azure, and architecture experience increases shortlisting strictness.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Support planning and implementation of data flow design and assist in sizing and configuration for Azure cloud data solutions.
Design and build Azure Data Pipelines, Data Streams, and hybrid data solutions combining on-premise and cloud services, including deployment of ML workflows.
Diagnose and troubleshoot complex distributed systems, build tools for terabyte-scale daily data processing, and manage development tasks including deployment and support.
6+ years of relevant experience.
Strong hands-on knowledge of Spark/PySpark and proficiency in SQL query writing and performance optimization.
Experience with programming languages such as Python (preferred), Java, or Scala.
Prior experience with cloud platforms, preferably Azure (Azure exposure and Databricks experience are must-haves).
Experienced in architecture and solution design for cloud-based data platforms, specifically on Azure.
Familiarity with Data Warehouse technologies such as Snowflake or Synapse and ability to design Dimensional Models for Data Warehouses/Data Marts.
Comfortable working independently on complex development tasks, coordinating across multiple teams including product owners and cloud vendors.