Senior Data Engineer

1 month ago

Brisbane, Australia HKT Full time

This is a Full-time position with a Hybrid working model.

About Console Connect

Connecting networks, clouds and businesses, Console Connect by PCCW Global is dedicated to helping organizations overcome the barriers and complexity of connecting to the cloud. Our goal is to provide businesses with on-demand, dedicated connectivity into cloud service providers and partners around the globe, making access to business-critical applications simple, predictable and ultra-secure.

Console Connect by PCCW Global is the world’s first global software-defined interconnection platform, born out of the belief that business connectivity should be simpler and more accessible for all. Console Connect enables users to efficiently manage their private connections via a user-friendly interface, regardless of their level of technical expertise.

Backed by PCCW Global, one of the world’s leading telecommunications groups with a tier 1 global IP network, Console Connect is completely scalable and offers maximum resilience and reliability, leaving you confident and secure in your cloud connections.

Role Overview

We are passionate about harnessing the power of data to drive innovation and empower businesses. We are seeking a highly technical and experienced Senior Data Engineer to join our dynamic team. The successful candidate will be a key player in designing, building, and optimizing our data infrastructure, ensuring seamless integration and efficient data processing.

Key Responsibilities & Qualifications

8 years of experience in data engineering Experience in collaborative development on projects and managing codebase by using tools such as Git Experience in mentoring junior data engineers and conduct rigorous code reviews to ensure good coding convention and code quality Vast experience in integrating from different data sources such as API, databases, cloud services etc Optimize existing data processes and improve efficiency and scalability. Experience in Data quality & data pipeline performance monitoring Demonstrate strong expertise in data warehousing concepts, ETL processes, and data integration techniques Proficient in Big Data technology, skilled in ingesting vast amounts of data and ensuring scalability Optimize existing data processes and improve efficiency and scalability. A self-motivated problem solver with passion about new technologies and solutions Proficiency in programming languages such as SQL, Python, Java, or Scala

Preferred Qualifications

Google cloud experience Familiarity with data pipeline orchestration tools such as Apache Airflow Familiarity with containerization technologies, especially Docker

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