Data EngineerConnectOS
Workplace: MetroManila, Manila
Salary: Agreement
Work form: Full time
Posting Date: 24/01/2026
Deadline: 17/03/2022
Develops and maintains scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity.
Collaborates with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision-making across the organization.
Implements processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.
Writes unit/integration tests, contributes to engineering wiki, and documents work.
Performs data analysis required to troubleshoot data-related issues and assist in the resolution of data issues.
Works closely with a team of frontend and backend engineers, product managers, and analysts.
Defines company data assets (data models)
Designs data integrations and data quality framework.
Designs and evaluates open source and vendor tools for data lineage.
Works closely with all business units and engineering teams to develop strategy for long-term data platform architecture.
Requirements
Data Engineer Qualifications / Skills:
Knowledge of best practices and IT operations in an always-up, always-available service
Experience with or knowledge of Agile Software Development methodologies
Excellent problem solving and troubleshooting skills
Process-oriented with great documentation skills
Excellent oral and written communication skills with a keen sense of customer service
Education, Experience, and Licensing Requirements:
5+ years' experience in software development, solution architecture and data engineering experience in multiple environments
3+ years professional experience of utilizing Apache Spark
Experience using analytic tools including Jupyter Notebooks, Apache Superset, or equivalent
Experience coaching integrated teams including developers to ensure systems are designed for testability.
Experience in strategic development and implementation of Quality Engineering solutions (Automation Frameworks, Performance Validation)
Proven thought leader & trusted advisor
Technical acumen in technologies associated with complex and deeply integrated systems eg: e2e domain, business logic and technology
Expert with CI/CD, TDD, BDD
Cloud experience (AWS, Azure, GCP)
Benefits
HMO on Day 1
Temporary Work from Home Set-Up
SL/VLs
Paid Government-Mandated Benefits (SSS, PHIC, Pag-IBIG)
Day Shift
Equipment provided
Work-life balance
SALARY RANGE: 150,000 - 180,000
ConnectOS
Collaborates with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision-making across the organization.
Implements processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.
Writes unit/integration tests, contributes to engineering wiki, and documents work.
Performs data analysis required to troubleshoot data-related issues and assist in the resolution of data issues.
Works closely with a team of frontend and backend engineers, product managers, and analysts.
Defines company data assets (data models)
Designs data integrations and data quality framework.
Designs and evaluates open source and vendor tools for data lineage.
Works closely with all business units and engineering teams to develop strategy for long-term data platform architecture.
Requirements
Data Engineer Qualifications / Skills:
Knowledge of best practices and IT operations in an always-up, always-available service
Experience with or knowledge of Agile Software Development methodologies
Excellent problem solving and troubleshooting skills
Process-oriented with great documentation skills
Excellent oral and written communication skills with a keen sense of customer service
Education, Experience, and Licensing Requirements:
5+ years' experience in software development, solution architecture and data engineering experience in multiple environments
3+ years professional experience of utilizing Apache Spark
Experience using analytic tools including Jupyter Notebooks, Apache Superset, or equivalent
Experience coaching integrated teams including developers to ensure systems are designed for testability.
Experience in strategic development and implementation of Quality Engineering solutions (Automation Frameworks, Performance Validation)
Proven thought leader & trusted advisor
Technical acumen in technologies associated with complex and deeply integrated systems eg: e2e domain, business logic and technology
Expert with CI/CD, TDD, BDD
Cloud experience (AWS, Azure, GCP)
Benefits
HMO on Day 1
Temporary Work from Home Set-Up
SL/VLs
Paid Government-Mandated Benefits (SSS, PHIC, Pag-IBIG)
Day Shift
Equipment provided
Work-life balance
SALARY RANGE: 150,000 - 180,000
ConnectOS
Other Info
Mandaluyong City, Metro Manila
₱150,000-180,000 per year
Temporary
Full-time
₱150,000-180,000 per year
Temporary
Full-time
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ConnectOS
About the company
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