Job Overview
Role: Apprentice – IT Location: Pune Experience: 0-0 Qualification: B.E / B.Tech / B.Sc Key Skills: SQL, Data Warehousing, Snowflake, Medallion Architecture, Generative AI
Job Description
Eaton is recruiting promising engineering and science talent for an Apprentice – IT role within its corporate Master Data Management (MDM) team in Pune. This entry-level position is ideal for graduates with B.E / B.Tech / B.Sc degrees in Computer Science, Information Technology, or Data Engineering, offering an excellent foundation for a career in cloud data platforms, data analytics, and modern AI/ML infrastructures. You will receive hands-on enterprise training in scalable data infrastructure, supporting MDM solutions, implementing data pipelines, and optimizing SQL queries.
Roles and Responsibilities
- Data Infrastructure Support: Supporting the development, migration, and long-term maintenance of advanced corporate MDM solutions using cloud platforms (preferably Snowflake).
- Architecture Implementation: Assisting data architects in implementing Medallion Architecture data pipelines for structured data processing.
- Query Optimization: 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.
- Data Integrity: Supporting critical data quality, deduplication, cleansing, and standardization initiatives to maintain data integrity.
- Pipeline & Workflow Assistance: Assisting internal teams in building robust data pipelines, operational workflows, and lightweight Streamlit applications.
- Innovation Exploration: 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. 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.