Job Overview
Role: Apprentice – IT Location: Pune Experience: Freshers / Entry-Level Qualification: B.E / B.Tech / B.Sc Key Skills: SQL, Data Warehousing, Snowflake, Medallion Architecture, Generative AI (GenAI), ETL / ELT, Python
Job Description
Eaton is currently scheduled to hire promising engineering and science talent for the role of Apprentice – IT within its corporate Master Data Management (MDM) team. Candidates who possess a B.E / B.Tech / B.Sc degree in Computer Science, Information Technology, Data Engineering, or related analytical fields are eligible to apply. This role in Pune provides an excellent foundation for those wanting to jumpstart their career in cloud data platforms, data analytics, and modern AI/ML infrastructures.
Roles and Responsibilities
- Development Support: Support the development, migration, and long-term maintenance of advanced corporate MDM solutions using cloud platforms (preferably Snowflake).
- Architecture Assistance: Assist data architects in implementing Medallion Architecture data pipelines for structured data processing.
- Data Transformation: Write, clean, and optimize SQL queries to assist with internal data transformation, validation, and analytics.
- Data Governance: Participate in standard data modeling routines and data governance design architecture discussions.
- Data Quality: Support critical data quality, deduplication, cleansing, and standardization initiatives to maintain data integrity.
- Pipeline Development: Assist internal teams in building robust data pipelines, operational workflows, and lightweight Streamlit applications.
- Innovation: Explore and prototype innovative GenAI-driven use cases to automate data enrichment and intelligent record matching.
- Collaboration: Collaborate with cross-functional data stewards, business analysts, and global engineering teams.
- Documentation: Document complex technical transformation designs, architectural workflows, and development best practices.
Skills and Eligibility Criteria
Educational Background: Bachelor’s degree in Engineering (B.E/B.Tech) or Bachelor of Science (B.Sc) specializing in Computer Science, Information Technology, Data Engineering, or related technical disciplines. Strong academic records with hands-on academic, boot camp, or personal project experience in data-related domains.
Experience: Freshers / Entry-Level. This position is explicitly designed for freshers or entry-level candidates who hold robust foundational knowledge in SQL, databases, and data architectures.
Mandatory Technical Skills:
- Basic understanding of database query systems, specifically SQL (handling joins, aggregations, and data transformations)
- Familiarity with functional Data Warehousing and Data Architecture fundamentals
- Knowledge or foundational awareness of Snowflake or any mainstream cloud data platform is highly preferred
- Awareness of the modern Medallion Architecture framework (specifically data classification via Bronze, Silver, and Gold operational layers)
- Basic knowledge or an active, proven interest in Generative AI (GenAI) concepts and emerging automation tools
- Exposure to core data movement methods like ETL / ELT processes is an added plus
- Academic certifications or specialized coursework completed in Snowflake, Data Engineering, Python, or AI/ML fields will give your profile an edge
Competencies:
- Strong analytical mind and logic-driven problem-solving capabilities
- Good corporate communication skills with an capability to describe engineering patterns cleanly
- Willingness to learn, change, and pivot successfully in a high-tempo enterprise workspace
- High attention to detail ensuring complete data accuracy and governance integrity
- Proactive self-starter attitude with a collaborative mindset to excel within global teams
- Strong time management skills with an ability to prioritize operational sub-tasks effectively