Senior Data Platform Engineer — Cloud, Kubernetes & Cloudera

Tookitaki; Manila; On-site; PHP 1,500,000 - 2,100,000; Full time

Job summary

Tookitaki is seeking a Senior Data Platform Engineer to build and operate large-scale data platforms spanning on‑prem Cloudera and cloud-native AWS/Kubernetes environments. You will design batch and streaming pipelines with Spark, Flink, Hive, and associated tech, while handling storage, partitioning, and data models.

You will troubleshoot, optimize, and automate workloads, contributing to reliable, observable cloud-native data systems and migrations from VM/physical setups to AWS/Kubernetes.

Qualifications

• Extensive hands-on experience with production Cloudera platforms (on‑prem and cloud).
• Deep knowledge of Hadoop ecosystem: HDFS, Hive, YARN, Spark, and data pipelines.
• Proven ability to design, optimize, and operate batch and streaming workloads (Spark/Flink).
• Experience with Parquet/Avro/JSON formats, and storage/layout optimization.
• Strong automation and scripting skills (Python/Bash) and IaC tooling (Terraform/Ansible).

Responsibilities

• Build and operate large-scale data platforms across Cloudera on‑prem and cloud environments.
• Design batch and streaming pipelines using Spark, Flink, Hive; transform and optimize datasets.
• Administer clusters, perform upgrades, tuning, security, and backup/recovery tasks.
• Troubleshoot failed jobs, data skew, and resource contention; improve recovery and observability.
• Migrate workloads to AWS/Kubernetes, and implement GitOps-based delivery and automation.

Skills

Cloudera/Hadoop stack

AWS cloud

Kubernetes

Spark

Flink

Hive

HDFS

Data pipeline design

Troubleshooting production systems

Python/Bash automation

Terraform/Ansible

Observability/Monitoring

Security and data integrity basics

Tools

Cloudera Enterprise

AWS EMR

Kubernetes operators

Helm

Terraform

Ansible

CloudWatch

S3

IAM

Job description

Tookitaki is seeking a Senior Data Platform Engineer to build and operate large-scale data platforms spanning on‑prem Cloudera and cloud-native AWS/Kubernetes environments. You will design batch and streaming pipelines with Spark, Flink, Hive, and associated tech, while handling storage, partitioning, and data models.

You will troubleshoot, optimize, and automate workloads, contributing to reliable, observable cloud-native data systems and migrations from VM/physical setups to AWS/Kubernetes.