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Arch Global Services (Philippines) Inc.

Data Engineer – Mid Shift

Arch Global Services (Philippines) Inc.

Data Engineer developing complex data structures and pipelines for high-profile analytics projects. Supporting data engineering needs with tools like Databricks, Snowflake, Spark, Python and Azure Data Factory.

Posted 4/16/2026full-timeRemote • 🇵🇭 PhilippinesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
AzureCloudPythonSQLSSIS

About the role

Key responsibilities & impact
  • Work closely with predictive modelers to assemble large, complex data sets that help solve business problems and increase profitability
  • Perform data manipulation and transformation using SQL and Python
  • Identify, design, and implement internal process improvements: automating manual processes and optimizing data pipelines
  • Discover and explore new sources of data with curiosity and creativity
  • Create and maintain optimal data pipeline architecture
  • Author detailed and comprehensible documentation of data pipelines and technical solutions
  • Ensure data quality and completeness

Requirements

What you’ll need
  • Advanced working SQL knowledge and experience working with relational databases, query authoring
  • A successful history of manipulating, processing and extracting value from large, disconnected datasets
  • Experience in Data integrations services (SSIS, Azure Data Factory, etc.)
  • Ideally, 3+ years of experience in a Data Engineer role or equivalent using SQL and/or Python
  • Good organizational skills and attention to detail
  • Excellent critical thinking skills to flag complex data challenges
  • Experience with cloud technologies and Python is a plus
  • Comfortable working in fast paced, highly collaborative environment
  • Ability to effectively communicate to different target audiences

Benefits

Comp & perks
  • Employees can work remotely

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
SQLPythondata manipulationdata transformationdata pipeline architecturedata qualitydata processingdata extractiondata integrationcloud technologies
Soft Skills
organizational skillsattention to detailcritical thinkingcreativitycommunication skillscollaborationproblem-solving