Data Engineer

2 weeks ago

Caloocan, Philippines EcoMetricx Full time

Overview EcoMetricx employs cutting-edge AI to manage large-scale databases, extract actionable insights from complex customer data, and predict new trends. The company designs unique programs and experiments using economic principles and insights from behavioral science to maximize revenue and customer satisfaction. EcoMetricx builds advanced custom causal statistical and machine learning tools to provide quantitative evaluations of customer behavior and forecasts. Role Description This is a full-time remote role for a Mid-Level (3+ years) Data Engineer (Cloud) to help build and operate our next-generation cloud data platform. You’ll design and manage data lakes and warehouses, build reliable pipelines, and enforce best practices in data governance, security, and observability. We work primarily across Google Cloud Platform (GCP) and Microsoft Azure, so experience with either (or both) is a plus. Responsibilities Design, build, and maintain cloud data pipelines using GCP or Azure services. Create structured, well-documented data models and enforce consistent naming, metadata, and standards. Manage dev/stage/prod environments and ensure secure, governed data access. Build robust monitoring and alerting for jobs and data quality. Implement backup, disaster recovery, and access control processes. Work with BI and analytics teams to deliver clean, trusted, and high-performing data for dashboards and analysis. Qualifications Design, build, and maintain cloud data pipelines using GCP or Azure services. Create structured, well-documented data models and enforce consistent naming, metadata, and standards. Manage dev/stage/prod environments and ensure secure, governed data access. Build robust monitoring and alerting for jobs and data quality. Implement backup, disaster recovery, and access control processes. Work with BI and analytics teams to deliver clean, trusted, and high-performing data for dashboards and analysis. Nice to Have Experience with geospatial or time-series data. Exposure to Power BI, Looker, or Tableau. Understanding of synthetic data and secure export patterns. Why it Matters You’ll help create a secure, reliable, and efficient foundation for analytics and decision-making across the company, enabling faster iteration, lower risk, and trustworthy insights. If you’re passionate about building cloud-based data platforms and want to work in a collaborative, data-driven environment, we’d love to hear from you Seniority level Mid-Senior level Employment type Full-time Job function Information Technology Industries Data Infrastructure and Analytics We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr

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