What You'll Do

We are looking for a highly motivated Apprentice to join our Master Data Management (MDM) team. This role provides an excellent opportunity to gain hands-on experience in modern data platforms, including Snowflake, Data Architecture, Medallion Architecture, and emerging Generative AI (GenAI) capabilities.

The candidate will work closely with senior data engineers and architects to support data engineering, data quality, and data governance initiatives while building strong foundational skills in enterprise data management.

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 modeling and data architecture discussions
Support data quality, cleansing, and standardization initiatives
Assist in building data pipelines, streamlit 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

Qualifications

Bachelor's degree in Computer Science, Information Technology, Data Engineering, or related field

Skills

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

Apprentice-IT