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Posted 2 days ago

Power BI Developer

@ LanceSoft, Inc.

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Montréal, Quebec

Contract
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SIGNALS

Requirements summary:

  • 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.

Tools & skills

Microsoft Power BIPythonNumPySQLPower QueryData modellingData engineeringMicrosoft SQL ServerOracleMySQLPostgreSQLAPI developmentData warehousingData visualization
Source and dates

Source type not verified · apify-linkedin

Employer posting date
2026-11-08
First seen by our source
2026-11-10
Source record updated
2026-11-10

These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.

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LanceSoft, Inc.

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FieldValue
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Job description

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.

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