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3 дня назад

Senior Data Engineer

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Philippines
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior Data Engineer (Azure Data Factory/Snowflake): Building and maintaining scalable marketing and enterprise data pipelines with an accent on ELT/ETL development, reusable data models, and cloud data integration. Focus on optimizing Snowflake performance, validating data quality, supporting production pipelines, and translating stakeholder requirements into reliable technical solutions.

Location: Quezon City, Manila, Philippines. Hybrid work arrangement with onsite work required three times per week. Mid-shift schedule: 1:00 PM–10:00 PM or 2:00 PM–11:00 PM; occasional support for US counterparts may be required.

Company

hirify.global is a global climate technologies company developing HVACR, cold chain, controls, software, and monitoring solutions focused on sustainability and energy efficiency.

What you will do

  • Design, develop, and maintain scalable data pipelines for marketing and enterprise data across multiple business systems.
  • Build ELT/ETL solutions and reusable data models for marketing analytics, customer insights, campaign reporting, segmentation, attribution, and personalization.
  • Optimize Snowflake performance, resource utilization, query execution, and cost-efficient processing.
  • Translate business requirements from Marketing, Analytics, Digital, and other stakeholders into scalable technical solutions.
  • Monitor and support production pipelines, troubleshoot data quality and performance issues, and participate in releases and deployments.
  • Maintain data documentation covering solution designs, lineage, metadata, and operational procedures while collaborating with engineering, DevOps, architecture, and governance teams.

Requirements

  • Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related discipline.
  • 7–10 years of data engineering experience.
  • Strong expertise in Azure Data Factory, Snowflake, dbt Core or Cloud, SQL, and Python.
  • Experience building enterprise ETL/ELT pipelines, cloud data integrations, data warehouses, dimensional models, and enterprise data architecture.
  • Experience with APIs, CRM, marketing automation, and digital analytics platforms.
  • Knowledge of Git, Azure DevOps or GitHub, CI/CD, data governance, metadata, lineage, and security; strong analytical, troubleshooting, and communication skills.

Culture & Benefits

  • Collaborative environment focused on sustainability, innovation, inclusion, and belonging.
  • Opportunities for professional development from onboarding through senior leadership.
  • Flexible and competitive benefits plans supporting individual and family needs.
  • Flexible time off, including paid parental leave, vacation, and holiday leave.
  • Mentorship opportunities and an emphasis on engineering best practices and continuous improvement.

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