Senior Data Engineer — Build Scalable Cloud Pipelines

Orsted Asia Pacific; Kuala Lumpur; On-site; MYR 110,000 - 150,000; Full time

Job summary

Ørsted Asia Pacific is seeking a data engineer to develop and maintain production-grade data ingestion pipelines. You will ensure secure, stable, and high-performance data delivery for analysts, data scientists, and machine learning models.

You will collaborate with data engineers, architects, and stakeholders to advance the data platform and governance, while setting up monitoring and orchestration of pipelines.

Qualifications

• Professional data engineering experience in data analytics and processing tools.
• Hands-on Python and SQL with DevOps/CI/CD knowledge.
• Experience with Spark/PySpark, Kafka or NiFi; cloud platforms and containers.

Responsibilities

• Developing and maintaining production-grade data ingestion pipelines.
• Ensuring data is available with optimal security, stability and performance.
• Collaborating with peers to solve data engineering problems and improve practices.
• Supporting governance and development of the data platform capabilities.
• Setting up monitoring and orchestration of data pipelines.

Skills

Python

SQL

ETL/ELT

CI/CD

Spark/PySpark

Kafka

NiFi

AWS

Azure

Kubernetes

Docker

Data Engineering

Tools

GitHub Actions

Azure DevOps

Kubernetes

Docker

Job description

Ørsted Asia Pacific is seeking a data engineer to develop and maintain production-grade data ingestion pipelines. You will ensure secure, stable, and high-performance data delivery for analysts, data scientists, and machine learning models.

You will collaborate with data engineers, architects, and stakeholders to advance the data platform and governance, while setting up monitoring and orchestration of pipelines.