
Angkas · Remote, Philippines, PH · 2 months ago
reporting, and machine learning initiatives. This role is responsible for helping transform raw data from multiple sources into
reliable, high-quality, and business-ready datasets that enable better decision-making across the organization.
Working closely with data engineers, data analysts, and ML engineers, the Junior Data Engineer will support the
development of data pipelines, data quality processes, and monitoring practices in a cloud-based environment. This role is
ideal for someone eager to grow in data engineering, contribute to production-grade data solutions, and continuously learn
modern tools, processes, and best practices.
● Develop, maintain, and optimize ETL/ELT data pipelines using SQL and Python
● Collect and integrate data from multiple sources, including batch and near real-time systems
● Transform raw data into clean, validated, and business-ready datasets for analytics and machine learning use cases
● Implement data quality checks, validation, and QA processes to ensure data accuracy and reliability
● Write, test, and maintain SQL and Python code to support scalable and dependable data workflows
● Monitor data pipelines and assist in incident investigation, incident management, troubleshooting, and resolution
● Collaborate with data analysts, ML engineers, and other stakeholders to support evolving data requirements
● Contribute to documentation, knowledge sharing, and continuous improvement of data engineering practices
Why join Angkas?
Freedom of work
Work-life balance
Free meals and use of gym
Opportunities for promotion
Competitive salary
Pay raise
Start-up environment
Multi-cultural and Agile work environment
Diversified use of technology
Visit the company's website for more information
Visit website
Headquarters
Remote, Philippines
Work Location
remote
Job Category
Data / Analytics
Application Deadline
Not specified
Job Type
full-time
Experience Level
entry-level
Application Method
Apply via Website
Salary
Not specified
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