Data Platform Engineer - End-to-End Pipelines & Warehousing

ing; Philippines; On-site; PHP 900,000 - 1,500,000; Full time

Job summary

ing is seeking a Data Engineer to design, build, and maintain a secure data platform with an emphasis on warehousing, modelling, and scalable data processing. The role collaborates with Product Owner, Data Analysts, and software engineers to deliver end-to-end data ingestion, storage, and consumption.

The ideal candidate has strong Python and SQL skills, experience with cloud platforms (Azure/AWS/GCP), streaming technologies (Kafka), and container orchestration (Docker/Kubernetes), plus a drive

Qualifications

• Proficiency in Python programming.
• SQL/RDBMS and NoSQL databases experience.
• Design/implement data warehousing, ingestion, transformation, and storage.
• Cloud platforms Azure, AWS, GCP experience.
• Experience with Kafka, Flink for streaming.
• Containers and orchestration with Docker and Kubernetes.
• CI/CD and DevOps, scripting (shell).
• Data pipeline testing and data quality concepts.
• ETL concepts and tools.
• Degree in Computer Science or related field.
• Strong problem solving and engineering mindset.
• Experience working remotely.

Responsibilities

• Design, architect and maintain a secure data platform focusing on warehousing and modelling.
• Assess infrastructure and data technologies for availability and scalability.
• Implement and maintain optimized ETL/ELT workflows and pipelines.
• Produce visualizations and insights from ingested data and communicate results to non-technical stakeholders.
• Collaborate with Product Owner, Data Analysts, Software Engineers, and tech leads on end-to-end data ingestion, storage, and consumption.

Skills

Python

SQL

NoSQL

Shell scripting

Problem solving

Remote coordination

Education

Bachelor's degree in Computer Science

Tools

Azure

AWS

GCP

Docker

Kubernetes

Kafka

Spark

CI/CD

Job description

ing is seeking a Data Engineer to design, build, and maintain a secure data platform with an emphasis on warehousing, modelling, and scalable data processing. The role collaborates with Product Owner, Data Analysts, and software engineers to deliver end-to-end data ingestion, storage, and consumption.

The ideal candidate has strong Python and SQL skills, experience with cloud platforms (Azure/AWS/GCP), streaming technologies (Kafka), and container orchestration (Docker/Kubernetes), plus a drive