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About
Job Description
What You'll Do
Learn the Data Environment
Assist senior team members in building and maintaining tables, schemas, and data models inside Microsoft Fabric to support Power BI dashboards. Help translate business requirements (provided by the BI Business Analyst) into clean, well-organized data structures, with guidance from senior engineers. Write SQL queries and basic Python scripts to transform and clean data, learning best practices along the way. Document tables, transformations, and pipelines clearly so the team can rely on your work. Support Pipeline Development
Contribute to data pipelines that bring information from source systems (such as ERP and other business platforms) into our Fabric environment. Help schedule and monitor pipelines, learning how to identify and troubleshoot common failures. Suggest small improvements to reduce manual work and improve data quality. Build Reporting Skills
Work with the team to maintain semantic models and datasets used by Power BI report developers. Practice writing DAX measures and calculated columns under the guidance of senior team members. Learn data modeling fundamentals such as star schema design and the medallion architecture (Bronze / Silver / Gold layers). Collaborate and Grow
Participate in sprint planning, code reviews, and design discussions - your questions are welcome. Communicate progress, blockers, and questions clearly to teammates and stakeholders. Take advantage of training, certifications, and mentorship to expand your skills over time. Skills We're Looking For
We do not expect candidates to be experts in every area. Foundational knowledge - from coursework, bootcamps, internships, or personal projects - is enough for required skills. Preferred skills are nice-to-haves and can be learned on the job.
Skill / Technology
Expected Level
Classification
SQL
Foundational
Required
Python
Foundational
Required
Power BI & DAX
Beginner / Exposure
Required
Microsoft Fabric
Willingness to learn
Required
Data Modeling Concepts
Beginner / Coursework
Required
PySpark
Exposure
Preferred
Git / Version Control
Familiarity
Preferred
ERP Systems
Awareness
Preferred
Qualifications
Required
Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, Mathematics, or a related field - OR equivalent practical experience (bootcamp, internships, certifications, or hands-on projects). 0-2 years of professional experience. Internships, capstone projects, and significant personal projects count. Foundational SQL skills - comfortable writing SELECT, JOIN, GROUP BY, and basic aggregate queries. Basic Python skills for working with data (e.g., pandas, simple scripts, notebooks). Some exposure to Power BI or another visualization tool, even if only through coursework or self-study. Understanding of basic data concepts such as tables, relationships, and joins. Strong written and verbal communication skills, and a willingness to ask questions. Eagerness to learn Microsoft Fabric, DAX, and modern data engineering practices on the job. Preferred (Nice to Have)
Coursework, certifications, or hands-on practice with Microsoft Fabric, Azure Synapse, Azure Data Factory, or Azure Data Lake. Familiarity with PySpark or distributed data processing concepts. Awareness of ERP systems and how business data is typically structured. Experience using Git for version control. Microsoft certifications such as DP-900 (Azure Data Fundamentals), PL-300 (Power BI Data Analyst), or DP-600 (Fabric Analytics Engineer). Personal projects, GitHub portfolio, Kaggle work, or contributions to open-source data projects.
If you enjoy innovation, and an opportunity to learn and contribute to a growing organization, CSP is the place for you!
Languages
- English
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