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Data Engineer Unity Catalog

2 weeks ago


Seattle, Washington, United States Capgemini Full time
About Us
Capgemini is a global leader in digital transformation, helping organizations make their operations more agile, responsive, and efficient. We combine in-depth industry expertise with insight-driven innovation to deliver tailored solutions that meet the unique needs of our clients. At Capgemini, we're passionate about creating value through technology for organizations that need to implement innovation at speed and want a local partner with global scale.

Job Description
We are seeking an experienced Data Engineer to join our team in Unity Catalog. As a key member of our engineering team, you will be responsible for setting up and managing Unity Catalog in Databricks to organize and secure data access across teams. You will also design and operationalize Feature Stores to support machine learning models in production, build efficient data pipelines to process and serve features to ML workflows, and collaborate with teams using Databricks, Azure Cosmos DB, and other Azure tools to integrate data solutions. Additionally, you will monitor and optimize the performance of pipelines and feature stores.

Required Skills and Qualifications
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 in Python and Spark for data engineering tasks, experience with monitoring tools like Splunk or Datadog to ensure system reliability, and familiarity with AKS for deploying and managing containers. Education: Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.