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Hybrid, metro, and popular Data Engineer title increase applicant density, but specialized MDM skills reduce competition.
Role demands MDM, Informatica, and data modeling expertise, reducing industry transferability.
Explicit years, required MDM, Databricks, and specific tooling create strict filtering.
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Own and develop enterprise Master Data Management (MDM) data model and architecture, including standards, governance, and compliance with data security/privacy mandates.
Design, implement, and manage scalable data pipelines for machine learning using Apache Spark, Delta Lake, MLflow, and Databricks services.
Lead and mentor MDM modeling and data quality efforts, manage MDM and Databricks deployment lifecycle, and conduct technical design reviews.
6-10 years of hands-on experience in Data Management/Development.
5 years of experience in data modeling using CA Erwin or Embarcadero ER Studio.
5 years of data warehousing experience with knowledge of Informatica MDM, Oracle, Unix/Linux scripting; proficiency in Python, Scala, SQL.
Bachelor's degree in Engineering, Computer/Data Science, or equivalent experience; hybrid work model at designated Regal Rexnord location.
Experienced technical lead with at least 2 years in MDM solutions and leadership in data modeling and architecture.
Skilled in implementing Data Vault architecture and familiar with cloud platforms (AWS, Azure, GCP) and Databricks for machine learning.
Solid understanding of data management principles, quality/compliance, Agile methods, and DevOps tools such as Git, CI/CD, Docker, Kubernetes.