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Apprentice. IT. Development Program

EatonPune
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Deadline: 17/11/2026
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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.

Skills for this role

Skills we detected for this role.

  • Python
  • SQL
  • Machine Learning
  • Generative AI
  • Snowflake