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Bitdeer Group

Data Engineer

Reposted 22 Hours Ago
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In-Office
Singapore
Mid level
In-Office
Singapore
Mid level
The Data Engineer will optimize data pipelines, collaborate on cloud infrastructure, and implement solutions for real-time data processing.
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About Bitdeer:

Bitdeer is a world-leading technology company for Bitcoin mining and AI cloud.
Bitdeer is committed to providing comprehensive Bitcoin mining solutions for its customers. Apart from designing industry-leading ASIC chips and manufacturing mining rigs, the Group handles complex processes involved in computing across the value chain. This includes equipment procurement, transport logistics, datacenter design and construction, equipment management, and network and facility operations. Bitdeer also offers advanced cloud capabilities to customers with a high demand for artificial intelligence.
Headquartered in Singapore, Bitdeer operates globally with a diversified 3 GW energy portfolio, and deploys Bitcoin mining and HPC datacenters in the United States, Bhutan, Norway, Canada, Malaysia, and Ethiopia.

About the Job:

We are seeking an experienced Data Engineer to join our Data Platform team with a focus on improving and optimizing our existing data infrastructure. The ideal candidate will have deep expertise in data management, cloud-based big data services, and real-time data processing, collaborating closely with cross-functional teams to enhance scalability, performance, and reliability.

Key Responsibilities

  • Optimize and improve existing data pipelines and workflows to enhance performance, scalability, and reliability.
  • Collaborate with the IT team to design and enhance cloud infrastructure, ensuring alignment with business and technical requirements.
  • Demonstrate a deep understanding of data management principles to optimize data frameworks, ensuring efficient data storage, retrieval, and processing.
  • Act as the service owner for cloud big data services (e.g., AWS EMR with Spark) and orchestration tools (e.g., Apache Airflow), driving operational excellence and reliability.
  • Design, implement, and maintain robust data pipelines and workflows to support analytics, reporting, and machine learning use cases.
  • Develop and optimize solutions for real-time data processing using technologies such as Apache Flink and Kafka.
  • Monitor and troubleshoot data systems, identifying opportunities for automation and performance improvements.

Stay updated on emerging data technologies and best practices to drive continuous improvement in data infrastructure.

Top Skills

Apache Airflow
Apache Flink
Aws Emr
Kafka
Spark

Bitdeer Group Singapore Office

Singapore, Singapore

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