Apprentice. IT. Development Program (Internship)

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.

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Key Responsibilities

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

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Soft Skills & Behavioral Competencies

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