Key responsibilities • Assists IDQ leads & Architects in the development of the enterprise MDM data model • Develops efficient and tuned data pipelines as per the project data models • Evaluates and recommends new and emerging MDM/DQ technologies, methodologies and standards • Ensures consistency and compatibility with all other system technology components • Assists in developing the MDM data model and architecture • Utilizes a data modeling tool to develop "blueprints" for the Conceptual Data Model of the MDM architecture • Implements enterprise conceptual models to integrate master data from diverse data sources into conformed, high quality, and referentially sound enterprise master data model. • Implements master data modeling standards that includes naming standards, data quality indicators, data categorization, ETL attribute usage, data consistency and reuse, data quality. • Implements logical master data models using the data modeling tool for all layers in the MDM technical architecture framework or a DQ Dashboards. • Mitigates performance implications of various data modeling and architecture decisions at the logical and physical layer as related to ETL, ad hoc query access, and static reporting. • Reviews and validates master data models with stakeholders and subject matter experts. Qualifications and Requirements Essential qualifications • 7 years of experience in data quality development is required. • 5 years of experience in data integration or data management development. • 5 years of experience in data warehousing required • Informatica Code Migration trough Ansible playbook or any other significant CI/CD process • Hands-On on Informatica Data Quality tool is must • Working experience on Informatica MDM Project as IDQ developer will be added advantage • Working understanding of PowerBI or similar in memory analysis tool is preferred. • Experience with Agile development methodologies and concepts preferred. • Experience with the following disciplines is preferred: Data Warehousing, EAI, Metadata Management, Master Data Management (implementation and data stewardship), Data Quality Management, Relational Databases, Dimensional Databases, Semantics, Data Lifecycle Management, SQL, PL/SQL, UML, XML. • Common Manufacturing Operation procedures (like Raw materials, finished goods, suppliers, etc.) and the processes and procedures utilized to carry out Business Systems • Good written communication and meeting facilitation skills. • Excellent written communication and meeting facilitation skills required
About Regal Rexnord
Regal Rexnord is a publicly held global industrial manufacturer with 30,000 associates around the world who help create a better tomorrow by providing sustainable solutions that power, transmit and control motion. The Company’s electric motors and air moving subsystems provide the power to create motion. A portfolio of highly engineered power transmission components and subsystems efficiently transmits motion to power industrial applications. The Company’s automation offering, comprised of controls, actuators, drives, and precision motors, controls motion in applications ranging from factory automation to precision control in surgical tools.
The Company’s end markets benefit from meaningful secular demand tailwinds, and include factory automation, food & beverage, aerospace, medical, data center, warehouse, alternative energy, residential and commercial buildings, general industrial, construction, metals and mining, and agriculture.
Regal Rexnord is comprised of three operating segments: Industrial Powertrain Solutions, Power Efficiency Solutions, and Automation & Motion Control. Regal Rexnord has offices and manufacturing, sales and service facilities worldwide. For more information, including a copy of our Sustainability Report, visit RegalRexnord.com.
