Work Model: You’ll work in a hybrid model, onsite at your designated Regal Rexnord location, with flexibility to work remotely.

____________________

Essential Responsibilities and Duties:
- Owns, develops and publishes enterprise MDM data model
- Aligns technical architecture framework with requirements defined by the Delivery team
- Provides leadership and guidance with MDM/DQ best practices, governance, standards and conventions
- Partners with security resources to ensure compliance with data security and privacy mandates
- Manages MDM and Databricks deployment lifecycle
- Design and implement scalable and reliable data pipelines for machine learning using Apache Spark, Delta Lake, MLflow, and other Databricks services
- Evaluates and recommends current and emerging MDM/DQ technologies, methodologies and standards
- Ensures consistency and compatibility with all other system technology components
- Mentors MDM Modelers and leads data modeling/quality efforts
- Conducts technical design reviews
- Education: Bachelor’s degree in Engineering,



Computer/Data Science or equivalent experience Responsibilities:
- Defines the MDM data model and architecture
- Utilizes a data modeling tool to develop "blueprints" for the Conceptual Data Model of the MDM architecture
- Develops enterprise conceptual models to integrate master data from diverse data sources into conformed, high quality, and referentially sound enterprise master data model
- Establishes and governs master data modeling standards that includes naming standards, data quality indicators, data categorization, ETL attribute usage, data consistency and reuse
- Designs logical master data models using the data modeling tool for all layers in the MDM technical architecture framework
- 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

📌 Data Engineer (Hyderabad)
🏢 Regal Rexnord
📍 Hyderabad