Data Analyst

OpsWerks; Mandaluyong; On-site; PHP 800,000 - 1,200,000; Full time

Job summary

A leading tech solutions provider in the Philippines is seeking a skilled operations engineer to manage multi-tenant data and AI platforms. You will design efficient workflows to enhance customer experience, lead incident management, and mentor junior engineers. The ideal candidate will have over 3 years of experience with ETL and production pipelines, strong skills in tools like Spark and Airflow, and proficiency in programming languages like Python or Java. Join a dynamic team to optimize performance in the cloud.

Qualifications

• 3+ years of experience supporting production pipelines/workflows.
• Strong experience in Spark, Airflow, Flink, or Jupyter.
• Solid knowledge in Python, Java, or Scala for automations and data manipulations.

Responsibilities

• Operate multi-tenant data/AI platforms with clear SLAs/SLIs/SLOs.
• Lead incident management and customer communications during events.
• Design processes to improve customer experience and reduce job failures.

Skills

ETL/ELT support

SQL

Spark

Airflow

Flink

Jupyter

Python

Java

Scala

Tools

Terraform

Helm

Argo CD

Prometheus

Grafana

Datadog

Job description

Responsibilities

• Run managed services, not just systems. Operate multi-tenant data/AI platforms (Spark, Airflow, Flink, Jupyter) with clear SLAs/SLIs/SLOs, cost guardrails, and capacity plans across AWS/GCP + Kubernetes.
• Be the face of reliability. Lead incidents end-to-end, own customer comms and post-incident reviews (RCA with actions customers can see and feel).
• Design for Customer experience. Help Data scientists and customers reduce failed/slow jobs, improve time-to-data, and optimize costs—so customers notice faster pipelines and fewer surprises.
• Standardize & scale. Build service runbooks, golden paths, and automation that make onboarding and daily ops predictable across customers.
• Automate the toil away. Ship tooling (Bash/Python, GitOps, CI/CD) for backups, DR drills, upgrades, access, and environment bootstrapping.
• Make signals meaningful. Instrument platforms with metrics/logs/traces; tune alerting to cut noise and improve detection and response times.
• Govern change. Plan and execute upgrades/migrations within change windows; champion safe deploys and rollback strategies.
• Partner & mentor. Guide junior engineers; collaborate with customer dev/data teams to unblock delivery and raise the reliability bar.
• Participate in on-call. Join a 24x7 rotation with crisp handoffs and playbooks.

Your Qualifications

• Hands-on support for ETL/ELT, SQL, and production pipelines/workflows.
• Strong experience in at least one of Spark, Airflow, Flink, or Jupyter (plus the ecosystem around it).
• Solid working knowledge in at least one (1) language - Python, Java or Scala (Automations, Data Manipulations & Orchestrations)
• Real-world AWS or GCP and production environment usage as a User or Administrator.
• Incident management, post-incident reviews, change management, and service reporting.
• 3+ years across the domains above, with depth in at least 1–2 tools per domain.

Plus points if you have:

• Certifications: CKA/CKAD, AWS (Associate/Professional), or equivalent.
• IaC & DevOps: Terraform, Helm, Argo CD/GitOps, CI/CD for data platforms.
• Observability & ITSM: Prometheus/Grafana/Datadog; Jira Service Management/ServiceNow, StatusPage.
• Security & compliance basics (least-privilege access, audit trails)