Quick Summary
Key Responsibilities
Build, optimize, and maintain automated data pipelines using orchestration tools. Monitor pipeline performance, uptime, and data quality SLAs. Apply engineering best practices including CI/CD,
Requirements Summary
2–3 years of experience in data engineering or analytics engineering. Strong proficiency in SQL and Python. Experience with cloud data platforms (AWS, GCP, or Azure) and orchestration tools (Airflow,
Technical Tools
Data EngineerData
Data Engineer
- Role Summary: Responsible for constructing and maintaining robust ETL/ELT pipelines and data infrastructure to ensure reliable enterprise data delivery.
- Key Responsibilities:
- Build, optimize, and maintain automated data pipelines using orchestration tools.
- Monitor pipeline performance, uptime, and data quality SLAs.
- Apply engineering best practices including CI/CD, version control, and data modeling.
- Qualifications:
- 2–3 years of experience in data engineering or analytics engineering.
- Strong proficiency in SQL and Python.
- Experience with cloud data platforms (AWS, GCP, or Azure) and orchestration tools (Airflow, Dagster, etc.).
- Location & Setup: Hybrid – Mandaluyong City
Location & Eligibility
Where is the job
Mandaluyong City, Philippines
On-site at the office
Who can apply
PH
About this job
- Who can apply
- Philippines
- Posted
- Today
Listing Details
- First seen
- October 26, 2026
- Last seen
- October 26, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 54%
- Scored at
- October 26, 2026
Signal breakdown
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External application
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