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ML Engineer with Unity Catalog / Databricks

Hexplora
Washington, WA Full Time
POSTED ON 2/26/2025 CLOSED ON 3/7/2025

What are the responsibilities and job description for the ML Engineer with Unity Catalog / Databricks position at Hexplora?

Job Details

Job Number 1
Title : ML Engineer with Unity Catalog / Databricks / Feature Store/ Java 11/ Python/ Kubernetes/
Location: Seattle ,WA (Hybrid -Flexible for remote)

Note :
JAVA SKILL IS CORE TO THIS ROLE AS CLIENT HAS FEW LEGACY APPLICATIONS IN JAVA
The ML Engineers will be supporting 3 web services applications - tech stack - Java 11// Python // Azure // AKS // APIM.

Client looking for an ML engineer with expertise in Unity Catalog and Feature Store in Databricks to help us build and maintain a solid foundation for our data and machine learning workflows. You will work on organizing data, managing access, and enabling machine learning models to operate efficiently in production

Responsibilities :

  • Set up and manage Unity Catalog in Databricks to organize and secure data access across teams
  • Design and operationalize Feature Stores to support machine learning models in production
  • Build efficient data pipelines to process and serve features to ML workflows
  • Collaborate with teams using Databricks, Azure Cosmos DB, and other Azure tools to integrate data solutions
  • Monitor and optimize the performance of pipelines and feature stores

Required Skills:
  • Strong experience with Unity Catalog in Databricks for managing data assets and access control
  • Hands-on experience working with Databricks Feature Store or similar solutions
  • Knowledge of building and maintaining scalable ETL pipelines in Databricks
  • Familiarity with Azure tools like Azure Cosmos DB and ACR
  • Understanding of machine learning workflows and how feature stores fit into the pipeline
  • Strong problem-solving skills and a collaborative mindset
  • Proficiency with Java
  • Proficiency in Python and Spark for data engineering tasks
  • Experience with monitoring tools like Splunk or Datadog to ensure system reliability
  • Familiarity with AKS for deploying and managing containers

Infowave Systems is an equal opportunity employer that is committed to diversity and inclusion in the workplace.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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