Cloud Data Engineer

1 day ago

Caloocan City, National Capital Region, Philippines beBeeCloudEngineer Full time ₱1,500,000 - ₱3,000,000
Job Overview

We are seeking a highly skilled Data Engineer to join our Cloud Platform team. The ideal candidate will design, build, and scale mission-critical data platforms powering next-generation AI and cloud applications.

This role offers the opportunity to shape the future of cloud-native data platforms from the ground up, working alongside top cloud and data experts in Vietnam.

About Us

We are pioneers in AI & Cloud solutions in Vietnam. Our mission is to generate an immense leap in productivity and agility in business operations.

We aim to lead the industry by building a firm technological foundation, developing diversified ecosystem products, and reaching global connectivity.

  • Customized solutions: Providing cloud-based products and solutions tailored to each industry's needs.
  • All-in-one Platform: Consolidating our technology and diverse business solutions on one platform.
  • Local market leadership: Outstanding Cloud and AI technology infrastructure and platform to help local businesses grow their products and services online.
  • Delivering the future: Helping customers achieve business outcomes faster by integrating world-class processes and technology.
Key Responsibilities1. Product Development & Research
  • Collaborate with the team to design technical architecture for Data Platforms (Data Ingestion, Processing, Storage, Query, Visualization, Security, Governance).
  • Implement and integrate Data Platform components: Kafka, NiFi, Airflow, Spark, Flink, Iceberg, Trino, Superset, dbt…
  • Build and operate CI/CD systems and Infrastructure as Code (Terraform, Helm, ArgoCD…).
  • Research and propose new technologies to optimize performance and enhance the product.
2. Operations & Managed Services for Customers
  • Support deployment, configuration, and optimization of Data Platforms for customers.
  • Monitor, troubleshoot incidents, and ensure service SLA compliance.
  • Operate monitoring, alerting, and logging systems (Prometheus, Grafana, ELK, Loki…).
  • Support troubleshooting of data pipelines, data source connections, and security incidents.
  • Participate in training and guiding customers on platform usage.
Requirements

Mandatory qualifications:

  • 3-5 years of experience in DataOps, DevOps, Platform Engineer, or Data Engineer roles.
  • Proficiency in Kubernetes, Docker, and microservices architecture.
  • Hands-on experience deploying or operating at least some Data Platform services (e.g., Kafka, Airflow, Spark).
  • Strong scripting skills (Python or Bash).
  • Experience with CI/CD and GitOps (GitLab CI, Jenkins, or ArgoCD).
  • Basic understanding of Data Pipelines and Data Engineering concepts.

Nice-to-have qualifications:

  • Experience in designing or operating Data Lakehouse/Data Warehouse.
  • Experience providing Managed Services for enterprise customers.
  • Knowledge of data security (IAM, RBAC, TLS, Network Policy, etc.).
  • Relevant certifications in Kubernetes (CKA, CKAD) or Cloud (AWS, GCP, Azure).

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