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yGen Innovations Inc Linkedin · Posted 15d ago

Data Engineer

Manila

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Indexed description

Must have


  • Availability to work nightshift hours (flexible schedule)
  • 3+ years of hands-on experience as a Data Engineer or BI Engineer on cloud data systems
  • Proven Microsoft Fabric experience covering OneLake, Lakehouse/Warehouse, Data Factory, and Spark notebooks
  • Demonstrated ability to build datamarts and apply dimensional modeling for BI and analytics use cases
  • Strong SQL and Python/PySpark skills
  • Experience partnering with BI teams to deliver reporting and semantic model solutions


Strong advantage


  • Working knowledge of the broader Azure data stack including ADF, Databricks, Synapse Analytics, and ADLS Gen2
  • Hands-on Power BI development including semantic models and DAX
  • Experience integrating Microsoft Dynamics 365 data into a lakehouse or warehouse environment
  • Familiarity with data quality frameworks and monitoring best practices at scale


Nice to have


  • Microsoft certifications such as DP-700 (Fabric Data Engineer), DP-203, or PL-300
  • Experience with Microsoft Purview, dbt, or infrastructure-as-code tools like Terraform or Bicep
  • Background in CPG, life sciences, or wellness industries


Tools and platforms we work with


Experience with any of these is a strong advantage. You do not need all of them.

Microsoft Fabric · OneLake / Lakehouse · Data Factory (Fabric) · Spark / PySpark · Power BI · Azure Data Factory · Azure Databricks · Dynamics 365 · Azure DevOps / GitHub Actions · SQL / Python


Why join us

  • Work on a modern Microsoft Fabric-first data platform used across a global life sciences organization
  • Collaborate with BI, analytics, and commercial stakeholders across multiple regions
  • Exposure to enterprise-scale data engineering across supply chain, finance, e-commerce, and marketing domains
  • Join a growing RPO delivery bench with access to varied client engagements over time
  • Remote, full-time setup for Philippines-based candidates
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