Job Summary:
The Staff Data Engineer works on different projects of data engineering to support the use cases, data ingestion pipeline, data warehouse, data lake and enterprise big data platform with multi-datacenter contexts and identify potential process or data warehousing issues. For the Reltio position, this requires strong data modeling skills and a genuine passion for developing scalable, high-quality MDM solutions. Key responsibilities will include the design, configuration, and implementation of Reltio MDM solutions including data models, match & merge rules, survivorship, and workflows and developing and maintaining integrations using Reltio APIs and Reltio Integration Hub.
Minimum Qualifications:
? Bachelor?s Degree in Computer Science or Information Systems or equivalent, relevant work experience
? 8+ years or more of work experience required in IT, SQL, Hadoop Ecosystems, Data warehouse, Data Modelling
? At least 4+ years on the Reltio platform
? Experience on project management framework Agile (Jira toolset). Knowledge and experience in developing software using agile methodologies
? Expert in ER studio, Business process management tool. Expert knowledge on metadata management and related tools
Preferred Qualifications:
? Strong understanding of MDM concepts, data governance, and data quality
? Proficiency in configuring Reltio Data Models, match rules, survivorship, and workflows
? Experience with Reltio APIs, Integration Hub, and data loading/exporting techniques
? Experience in data loader which allows users to load data from various locations to Reltio
? Familiarity with cloud platforms (preferably AWS) and ETL tools.
? Strong SQL and scripting skills
? Experience working in Agile environments and using tools like Git, JIRA, and CI/CD pipelines