Live opening · Posted 1 day ago
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The key details from the original listing.
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About the role
Description supplied by the original job listing.
Work Model: You’ll work in a hybrid model, onsite at your designated Regal Rexnord location, with flexibility to work remotely.
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Position Summary:
As data becomes increasingly critical to operational efficiency, business intelligence, and digital transformation, the Data Engineer plays an important role in supporting initiatives that enhance the quality, governance, integration, and accessibility of enterprise data across the organization. This role supports the Data Services team by developing and maintaining data pipelines, supporting Master Data Management (MDM) and Data Quality (DQ) processes, and enabling trusted data delivery for reporting, analytics, and business operations.
Working closely with data engineers, architects, business stakeholders, and analytics teams, the Data Engineer helps ensure that customer, supplier, item, and other critical master data assets are accurate, consistent, and available across enterprise platforms. This position provides an excellent opportunity for recent graduates to gain hands-on experience with modern data technologies, cloud platforms, data governance practices, and enterprise data management solutions while contributing to initiatives that improve data-driven decision-making throughout the organization.
Key Responsibilities
Data Engineering & Integration
Assist in developing, testing, and maintaining data pipelines and ETL processes.
Support data integration activities from multiple enterprise systems and data sources.
Help monitor and troubleshoot data processing jobs to ensure reliability and performance.
Participate in data migration, validation, and reconciliation activities.
Master Data Management (MDM)
Support the maintenance and enhancement of enterprise master data models.
Assist in data quality analysis, data cleansing, and governance activities.
Help document business rules, data definitions, and master data standards.
Participate in data stewardship initiatives to improve data consistency and accuracy across systems.
Data Modeling & Analytics
Assist in creating conceptual, logical, and physical data models under the guidance of senior team members.
Support data warehousing and business intelligence initiatives.
Collaborate with stakeholders to understand reporting and analytics requirements.
Help create documentation, process diagrams, and data flow mappings.
Cloud & Modern Data Platforms
Support development activities within Databricks and cloud-based data environments.
Learn and apply technologies such as Apache Spark, Delta Lake, SQL, and Python.
Participate in CI/CD, DevOps, and automation initiatives related to data engineering solutions.
Collaboration & Continuous Improvement
Work closely with MDM, Data Quality, Integration, and Analytics teams.
Participate in Agile ceremonies, sprint planning, and team discussions.
Contribute ideas to improve data processes, automation, and operational efficiency.
Stay current with emerging data engineering and analytics technologies.
Qualifications
Required Education
Bachelor's Degree in:
Computer Science
Data Science
Information Technology
Computer Engineering
Industrial Engineering
Mathematics
Statistics
Or a related technical discipline
Experience
Fresh graduates are encouraged to apply.
Internship, academic projects, or capstone experience involving databases, ETL, analytics, or cloud technologies is an advantage.
Preferred Technical Skills
Database & Query Languages
Basic knowledge of SQL
Understanding of relational databases and data structures
Programming
Exposure to Python, Java, Scala, or similar programming languages
Data & Analytics
Basic understanding of:
Data Warehousing
Data Quality concepts
Data Governance
Master Data Management (MDM)
Business Intelligence reporting
Mathematics
Statistics
Or a related technical discipline
Cloud & Modern Data Platforms (Exposure to one or more of the following preferred):
Databricks
Azure
AWS
Google Cloud Platform (GCP)
Apache Spark
Additional Preferred Skills
Familiarity with Git or version control systems
Knowledge of Agile methodologies
Experience with Tableau, Power BI, or similar reporting tools
Understanding of ETL concepts and data integration processes
Core Competencies
Strong analytical and problem-solving skills
High attention to detail and focus on data accuracy
Curiosity and willingness to learn new technologies
Good verbal and written communication skills
Strong collaboration and teamwork skills
Ability to manage multiple priorities and tasks
Creative mindset for identifying process improvement opportunities
Commitment to data quality and continuous improvement
#LI_Hybrid
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.
Notification to Agencies: Please note that Regal Rexnord Corporation and its affiliates and subsidiaries ("Regal Rexnord") do not accept unsolicited resumes or calls from third-party recruiters or employment agencies. In the absence of a signed Master Service Agreement or similar contract and approval from HR to submit resumes for a specific requisition, Regal Rexnord will not consider or approve payment to any third-parties for hires made.
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