3 дня назад
Senior Data Engineer
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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