Overview
What you'll do
Eaton is looking for a motivated Apprentice to join its Master Data Management (MDM) team. This role offers hands-on experience with modern data platforms, including Snowflake, Data Architecture, Medallion Architecture, and emerging Generative AI (GenAI) capabilities.
You will work closely with senior data engineers and architects to support data engineering, data quality, and data governance initiatives while building foundational skills in enterprise data management.
Key Responsibilities
- Support development and maintenance of MDM solutions on modern cloud platforms (Snowflake preferred)
- Assist in implementing Medallion Architecture (Bronze, Silver, Gold layers) for structured data processing
- Write and optimize SQL queries for data transformation, validation, and analysis
- Take part in data modeling and data architecture discussions
- Support data quality, cleansing, and standardization initiatives
- Assist in building data pipelines, Streamlit apps, and workflows
- Explore and prototype GenAI-driven use cases in data management (e.g., intelligent matching, enrichment, automation)
- Collaborate with cross-functional teams, including data stewards, business stakeholders, and engineering teams
- Document technical designs, transformations, and best practices
Qualifications
- Bachelor's degree in Computer Science, Information Technology, Data Engineering, or a related field
Skills
- Basic understanding of SQL (joins, aggregations, transformations)
- Familiarity with Data Warehousing concepts
- Knowledge of Snowflake or any cloud data platform (preferred)
- Understanding of Data Architecture fundamentals
- Awareness of Medallion Architecture (Bronze-Silver-Gold layers)
- Basic knowledge or interest in Generative AI (GenAI) concepts and applications
- Exposure to ETL/ELT processes is a plus
- Certification or coursework in Snowflake, Data Engineering, or AI/ML
- Hands-on academic or project experience in data-related domains
Soft Skills and Behavioral Competencies
- Strong analytical and problem-solving mindset
- Good communication skills (ability to explain technical concepts clearly)
- Willingness to learn and adapt in a fast-paced environment
- Attention to detail and data accuracy
- Ability to work collaboratively in a team environment
- Proactive attitude with a self-starter mindset
- Openness to feedback and continuous improvement
- Strong time management and prioritization skills
Useful extras include exposure to tools like Python or data integration tools, an understanding of data governance and data quality frameworks, and basic knowledge of APIs and data services.
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Education Requirements
- Bachelor's degree in Computer Science, Information Technology, Data Engineering, or related field
Eligible Batch Years
Eaton
Eaton is a global power management company dedicated to improving the quality of life and the environment through the use of sustainable power solutions. Founded in 1911, Eaton operates in over 175 countries and employs more than 90,000 people worldwide. The company designs, manufactures, and delivers a broad range of electrical, hydraulic, and mechanical power management products and services, serving diverse sectors including industrial, commercial, residential, and aerospace markets.
Eaton's mission is to help customers manage power—whether electrical, hydraulic, or mechanical—more efficiently, reliably, safely, and sustainably. Known for its strong commitment to innovation and sustainability, Eaton has recently expanded its portfolio in energy storage, electric vehicle infrastructure, and smart grid technologies, reflecting its focus on enabling the energy transition. With a reputation for engineering excellence and robust customer support, Eaton is recognized as a leader in its field, consistently ranking among the top companies in power management solutions.
Company Details
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Websiteeaton.com