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 processingWrite and optimize SQL queries for data transformation, validation, and analysisParticipate in data modeling and data architecture discussionsSupport data quality, cleansing, and standardization initiativesAssist in building data pipelines, streamlit apps and workflowsExplore 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 teamsDocument technical designs, transformations, and best practicesQualifications:Bachelor's degree in Computer Science, Information Technology, Data Engineering, or related fieldSkills:Basic understanding of SQL (joins, aggregations, transformations)Familiarity with Data Warehousing conceptsKnowledge of Snowflake or any cloud data platform (preferred)Understanding of Data Architecture fundamentalsAwareness of Medallion Architecture (Bronze-Silver-Gold layers)Basic knowledge or interest in Generative AI (GenAI) concepts and applicationsExposure to ETL/ELT processes is a plusCertification or coursework in Snowflake, Data Engineering, or AI/MLHands-on academic or project experience in data-related domainsStrong analytical and problem-solving mindsetGood communication skills (ability to explain technical concepts clearly)Willingness to learn and adapt in a fast-paced environmentAttention to detail and data accuracyAbility to work collaboratively in a team environmentProactive attitude with a self-starter mindsetOpenness to feedback and continuous improvementStrong time management and prioritization skillsExposure to tools like Python or data integration toolsUnderstanding of data governance and data quality frameworksBasic knowledge of APIs and data services