Sogeti
ML Engineer – Unity Catalog
Sogeti, Olympia, Washington, United States
Part of the Capgemini Group, Sogeti makes business value through technology for organizations that need to implement innovation at speed and want a local partner with global scale. With a hands-on culture and close proximity to its clients, Sogeti implements solutions that will help organizations work faster, better, and smarter. By combining its agility and speed of implementation through a DevOps approach, Sogeti delivers innovative solutions in quality engineering, cloud and application development, all driven by AI, data and automation.
Job Description: ML Engineer – Unity Catalog
We are 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.
What You Will Do:
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. What We Are Looking For:
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. Familiarity with AKS for deploying and managing containers. Education:
Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field. Life at Sogeti:
We support all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer: Healthcare including dental, vision, mental health, and well-being programs. Financial well-being programs such as 401(k) (matched 150% up to 6%) and Employee Share Ownership Plan. 3 weeks Personal Time Off (PTO) and 7 Paid Holidays. Paid parental leave. Family building benefits like adoption assistance, surrogacy, and cryopreservation. Social well-being benefits like subsidized back-up child/elder care and tutoring. Mentoring, coaching, and learning programs. Continuing Education: $12,000 Annual Tuition Reimbursement plus access to over 20,000 online courses and certifications through Capgemini University, as well as Coursera and Degreed. Programs for Counseling, Support, Health and Fitness perks, Auto discounts and much, much more! Employee Resource Groups. Disaster Relief. Disclaimer:
Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship. Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. Click the following link for more information on your rights as an Applicant:
Equal Employment Opportunity is the Law .
#J-18808-Ljbffr
Job Description: ML Engineer – Unity Catalog
We are 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.
What You Will Do:
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. What We Are Looking For:
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. Familiarity with AKS for deploying and managing containers. Education:
Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field. Life at Sogeti:
We support all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer: Healthcare including dental, vision, mental health, and well-being programs. Financial well-being programs such as 401(k) (matched 150% up to 6%) and Employee Share Ownership Plan. 3 weeks Personal Time Off (PTO) and 7 Paid Holidays. Paid parental leave. Family building benefits like adoption assistance, surrogacy, and cryopreservation. Social well-being benefits like subsidized back-up child/elder care and tutoring. Mentoring, coaching, and learning programs. Continuing Education: $12,000 Annual Tuition Reimbursement plus access to over 20,000 online courses and certifications through Capgemini University, as well as Coursera and Degreed. Programs for Counseling, Support, Health and Fitness perks, Auto discounts and much, much more! Employee Resource Groups. Disaster Relief. Disclaimer:
Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship. Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. Click the following link for more information on your rights as an Applicant:
Equal Employment Opportunity is the Law .
#J-18808-Ljbffr