Data Engineer designing and building production data pipelines for AI and ML workloads at Capgemini Engineering. Focus on end to end data lifecycle management and AWS infrastructure.
About the role
- MDM Data Engineer managing Profisee MDM platform and ensuring data quality in enterprise systems at Pacific Life. Collaborating with data stewards and integrating with upstream and downstream systems.
Responsibilities
- Administer and maintain the Profisee MDM platform across development, QA, and production environments hosted on AWS EC2 instances
- Configure and manage Profisee components including data models, business rules, survivorship logic, workflows, and user interfaces
- Support data mastering processes such as match/merge, golden record creation, and reference data management
- Collaborate with data stewards and business SMEs to define and enforce data quality standards and governance policies
- Integrate Profisee with upstream and downstream systems including Salesforce, Snowflake, and SAP
- Participate in sprint planning, backlog grooming, and DevOps deployments using Azure DevOps and ServiceNow
- Provide technical support and training to end users and stakeholders.
Requirements
- 3+ years of experience in Master Data Management and/or related data management tools.
- Strong proficiency in SQL Server, including stored procedures, indexing, and performance tuning.
- Experience with AWS infrastructure (EC2, S3, Lambda) and Snowflake data platform.
- Excellent communication and collaboration skills, with the ability to work across business and technical teams.
Benefits
- Your Benefits Start Day 1
- Prioritization of your health and well-being including Medical, Dental, Vision, and Wellbeing Reimbursement Account that can be used on yourself or your eligible dependents
- Generous paid time off options including: Paid Time Off, Holiday Schedules, and Financial Planning Time Off
- Paid Parental Leave as well as an Adoption Assistance Program
- Competitive 401k savings plan with company match and an additional contribution regardless of participation
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