Apprentice-IT

Candidates typically face a timed online aptitude test followed by a technical interview focused on SQL, data modelling and Snowflake basics. The HR round assesses cultural fit and communication. Preparation of core data concepts and mock aptitude tests greatly improves success chances.

Eaton promotes a collaborative and inclusive work culture where learning is encouraged. Employees enjoy a balanced work‑life schedule, regular skill‑upgradation programs, and clear growth pathways, making it a supportive environment for fresh talent.

Bachelor’s degree in Computer Science, Information Technology, Data Engineering or related field; minimum 60% aggregate (or CGPA 6.0/10); graduating batch 2023‑2025; no active backlogs; strong analytical mindset and good communication skills.

Round 1: Online aptitude test (logical reasoning, quantitative, verbal) → Round 2: Technical interview (SQL, data concepts, Snowflake basics, problem‑solving) → Round 3: HR interview (fitment, motivation, cultural alignment)

Eaton is a global leader in intelligent power management, serving customers across data centers, utilities, industrial, commercial, aerospace and mobility sectors. Founded in 1911, the company has grown into a $27.4 billion enterprise with a presence in 180 countries. Its mission is to protect the environment and improve quality of life by delivering sustainable power solutions. In India, Eaton is celebrated for its inclusive culture, innovation awards and commitment to employee development, making it a sought‑after employer for fresh talent. The Apprentice‑IT role is a gateway for recent graduates to dive deep into modern data engineering practices. Working within the Master Data Management (MDM) team, the apprentice will get hands‑on exposure to cloud‑native data platforms, especially Snowflake, and learn to design, build and maintain data pipelines following the Medallion Architecture (Bronze, Silver, Gold). The position blends practical coding, data quality work, and exploratory projects around Generative AI, offering a balanced mix of learning and contribution. **Key Responsibilities** 1. Support development and maintenance of MDM solutions on Snowflake or other cloud data platforms. 2. Assist in implementing Medallion Architecture layers for structured data processing. 3. Write, debug and optimise SQL queries for transformation, validation and analysis. 4. Participate in data modelling sessions and architecture discussions. 5. Contribute to data‑quality, cleansing and standardisation initiatives. 6. Help build data pipelines, Streamlit applications and automated workflows. 7. Prototype GenAI‑driven use‑cases such as intelligent matching and data enrichment. 8. Collaborate with data stewards, business stakeholders and engineering teams. 9. Document technical designs, transformation logic and best practices. 10. Continuously learn emerging tools and share knowledge within the team. **Tech Stack**: Snowflake, SQL, Python (basic), Streamlit, Cloud platforms (AWS/Azure/GCP), Medallion Architecture concepts, Generative AI APIs, ETL/ELT tools. **Growth Path**: Starting as an apprentice, high performers can progress to Data Engineer, Senior Data Engineer, and eventually Data Architect or MDM Lead within 2‑4 years, with opportunities to specialise in AI‑augmented data pipelines or cloud data warehousing. **Why Join Eaton?** Eaton offers a structured learning environment, mentorship from seasoned data architects, and exposure to cutting‑edge technologies. The hybrid work model provides flexibility while fostering team collaboration. Employees benefit from competitive compensation, robust learning budgets, and a culture that recognises diversity and inclusion. For freshers aiming to build a solid foundation in enterprise data management, Eaton’s Apprentice‑IT program is an ideal launchpad.