Data Engineer

Remote Employee BPO Philippines Inc.

₱70-120K[Bulanan]
Jarak Jauh3 - 5 Tahun PengalamanSarjana MudaSepenuh-masa
Kongsi

Butiran Kerja Jarak Jauh

Terbuka Kepada Seluruh NegaraFilipina

Keperluan BahasaInggeris

Kerja jauh ini terbuka kepada calon di negara tertentu. Sila sahkan jika anda ingin meneruskan walaupun terdapat kemungkinan sekatan lokasi

Keterangan Kerja

Manfaat

  • Pengiktirafan dan Ganjaran Pekerja

    Bonus Prestasi

  • Insurans Kesihatan & Kesejahteraan

    Insuran kesihatan

Remote Employee BPO has an outstanding opportunity for you!


  • Role: Data Engineer
  • Compensation: Competitive Basic Salary
  • Benefits: HMO plus 2 Free Dependents, P1,500 Rice Allowance, and Night Differential, Government Mandated Benefits, SIL, Company Events, etc
  • Work Schedule: 5-day work week, Monday to Friday, 10:00 p.m. to 7:00 a.m. Philippine Time
  • Work Setup: Work-from-Home


We are seeking a skilled and motivated Data Engineer with hands-on experience in ETL development, Azure Data Factory (ADF), Azure Data Lake, and SQL Server Integration Services (SSIS). The ideal candidate will have hands-on experience in designing, building, and working with cloud-based solutions and maintaining scalable data pipelines that support advanced analytics, reporting, and business intelligence initiatives.

  • Design and implement robust ETL/ELT pipelines using SSIS, ADF, and other Azure-based tools.
  • Ingest, clean, transform, and validate large volumes of structured and semi-structured data.
  • Manage and optimize data storage solutions within Azure Data Lake and other Azure services.
  • Collaborate with data analysts, data scientists, and business stakeholders to understand requirements and deliver high-quality data solutions.
  • Monitor, troubleshoot, and improve data pipelines to ensure data integrity and performance.
  • Ensure security, privacy, and compliance with relevant data governance policies.
  • Document technical solutions, data flows, and ETL processes for maintainability and transparency.

Preferred Qualifications

  • Microsoft Azure certifications (e.g., DP-203: Data Engineering on Microsoft Azure).
  • Experience with Python and PySpark in a data engineering context.
  • Exposure to CI/CD practices in data pipeline development.
  • Experience with Delta Lake and data lake house architecture.
  • Knowledge of data modeling concepts and tools (e.g., star/snowflake schema).
  • Familiarity with other Azure services such as Azure Synapse, Azure Functions, or Logic Apps.
  • Proficiency in writing complex SQL queries and performance tuning.
  • Experience working with large-scale data platforms and cloud-based data ecosystems.
  • Strong understanding of data modeling, ETL best practices, and data warehousing concepts.
  • Familiarity with version control systems like Git.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and collaboration skills.


Required Skills and Experience:

  • 3+ years of experience in Data Engineering or related role.
  • Strong hands-on experience with:
  • SQL Server Integration Services (SSIS)
  • Azure Data Factory (ADF)
  • Azure Data Lake (Gen1/Gen2)
  • ETL processes and frameworks
PythonSQLPemprosesan DataETLAzure Data Factory (ADF)Azure Data LakeSISSPySparkGitAzure Synapse
Preview

Caryl Keight Alivio

Recruitment SpecialistRemote Employee BPO Philippines Inc.

Aktif dalam masa tiga hari

Disiarkan pada 14 August 2025

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