Enterprise Data Warehouse Engineer: Snowflake & Power BI

RSM Solutions Inc.

Philippines

On-site

PHP 1,800,000 - 2,400,000

Full time

2 days ago
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Job summary

RSM Solutions Inc. is recruiting a Senior Data Warehouse and Analytics Engineer to build and mature an enterprise data environment.

You will design scalable Snowflake-based warehouses, integrate data from multiple sources, and deliver Power BI datasets and dashboards to support operational and strategic decision-making. The role emphasizes data modeling, data quality, governance, and collaboration with stakeholders to translate business questions into reliable data products.

Qualifications

  • Advanced SQL development with complex joins, CTEs, window functions, and performance tuning.
  • Snowflake data warehouse development and administration experience.
  • Power BI data modeling, datasets, dashboards, and semantic models.
  • ETL/ELT design, testing, monitoring, and production support.
  • Dimensional modeling including star schemas, facts and dimensions, SCDs, and historical data management.
  • Data reconciliation, profiling, and quality-control techniques.
  • Source control, release management, and structured deployment practices.
  • Data security, governance, and access control knowledge.

Responsibilities

  • Design, build, and maintain an enterprise data warehouse in Snowflake.
  • Integrate data from core business applications, databases, files, APIs, and third-party platforms.
  • Develop Power BI datasets, dashboards, reports, and semantic models for operational and executive use.
  • Develop and optimize ETL/ELT pipelines and ensure data quality and lineage.

Job description

RSM Solutions Inc. is recruiting a Senior Data Warehouse and Analytics Engineer to build and mature an enterprise data environment.

You will design scalable Snowflake-based warehouses, integrate data from multiple sources, and deliver Power BI datasets and dashboards to support operational and strategic decision-making. The role emphasizes data modeling, data quality, governance, and collaboration with stakeholders to translate business questions into reliable data products.

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