Job Overview
Role: Apprentice – IT (Master Data Management Team) Location: Pune Experience: Freshers / Entry-Level Qualification: B.E / B.Tech / B.Sc (Computer Science, Information Technology, Data Engineering, or related analytical fields) Key Skills: SQL, Data Warehousing, Data Architecture, Snowflake, cloud data platform, Medallion Architecture, Generative AI (GenAI), ETL / ELT, Python
Job Description
Eaton is hiring promising engineering and science talent for the role of Apprentice – IT within its corporate Master Data Management (MDM) team in Pune. This role is for B.E / B.Tech / B.Sc degree holders in Computer Science, IT, Data Engineering, or related analytical fields. It provides an excellent foundation to jumpstart your career in cloud data platforms, data analytics, and modern AI/ML infrastructures.
Roles and Responsibilities
- MDM Support: Supporting the development, migration, and long-term maintenance of advanced corporate MDM solutions using cloud platforms (preferably Snowflake).
- Architecture Assistance: Assisting data architects in implementing Medallion Architecture data pipelines for structured data processing.
- SQL Operations: Writing, cleaning, and optimizing SQL queries to assist with internal data transformation, validation, and analytics.
- Data Governance: Participating in standard data modeling routines and data governance design architecture discussions.
- Quality Initiatives: Supporting critical data quality, deduplication, cleansing, and standardization initiatives to maintain data integrity.
- Pipeline Building: Assisting internal teams in building robust data pipelines, operational workflows, and lightweight Streamlit applications.
- GenAI Prototyping: Exploring and prototyping innovative GenAI-driven use cases to automate data enrichment and intelligent record matching.
- Collaboration: Collaborating with cross-functional data stewards, business analysts, and global engineering teams.
- Documentation: Documenting 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.
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
Competencies:
- 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
- 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