Publié avant-hier
Power BI Developer
@ LanceSoft, Inc.
Montréal, Québec
Résumé des exigences :
- Required Technical Skills
- Strong hands-on experience with Microsoft Power BI Desktop and Power BI Service .
- Strong knowledge of SQL , including complex queries, joins, CTEs, subqueries, and stored procedures.
- Experience with ETL/ELT processes, data integration, and data transformation.
- Knowledge of relational databases such as SQL Server, Oracle, MySQL, or PostgreSQL.
- Experience integrating REST APIs and multiple data sources into Power BI.
Outils et compétences
Source et dates
Type de source non vérifié · apify-linkedin
- Date publiée par l’employeur
- 2026-11-08
- Première détection par notre source
- 2026-11-10
- Mise à jour du dossier source
- 2026-11-10
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
LanceSoft, Inc.
| Champ | Valeur |
|---|---|
| Offres sur Jobsy | 1 |
Pay Range: CAD 60-70/hr
Required Technical Skills
- Strong hands-on experience with Microsoft Power BI Desktop and Power BI Service.
- Proficiency in Python, including Pandas, NumPy, Matplotlib, and Seaborn.
- Strong knowledge of SQL, including complex queries, joins, CTEs, subqueries, and stored procedures.
- Expertise in DAX, Power Query (M), data modeling, and dashboard development.
- Experience with ETL/ELT processes, data integration, and data transformation.
- Knowledge of relational databases such as SQL Server, Oracle, MySQL, or PostgreSQL.
- Experience integrating REST APIs and multiple data sources into Power BI.
- Understanding of data warehousing concepts, star schema, snowflake schema, and dimensional modeling.
- Experience with Power BI Gateway, scheduled refresh, and workspace administration.
- Knowledge of data visualization best practices and KPI development.
Preferred Skills
- Experience with Azure Data Factory, Azure SQL, or Microsoft Fabric.
- Exposure to cloud data platforms such as Snowflake, Databricks, or AWS.
- Knowledge of Git, version control, and deployment pipelines.
- Experience in statistical analysis, forecasting, and predictive analytics using Python.
- Familiarity with Power Automate and advanced Excel.
Journal
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