About the role
Eaton is hiring for the role of Apprentice, IT Development Program!
Responsibilities of the Candidate:
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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. -
Participate in data modelling and data architecture discussions. -
Support data quality, cleansing, and standardization initiatives. -
Assist in building data pipelines, streaming 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.
Requirements
- Bachelor's degree in Computer Science, Information Technology, Data Engineering, or related field. -
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. -
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. -
Exposure to tools like Python or data integration tools. -
Understanding of data governance and data quality frameworks. -
Basic knowledge of APIs and data services.