Data Engineer

6 days ago

Singapore Bitdeer Technologies Group Full time

About Bitdeer
Bitdeer Technologies Group (Nasdag: BTDR) is a leader in the blockchain and high-performance computing industry, lt is one of the world's largest holders of proprietary hash rate and suppliers of hash rate. Bitdeer is committed to providing comprehensive computing solutions for its customers.
The company was founded by Jihan Wu, an early advocate and pioneer in cryptocurrency who cofounded multiple leading companies serving the blockchain economy. Headquartered in Singapore, Bitdeer has deployed mining datacenters in the United States, Norway, and Bhutan. lt offers specialized mining infrastructure, high-quality hash rate sharing products, and reliable hosting services to global users. The company also offers advanced cloud capabilities for customers with high demands for artifcial inteligence Dedication, authenticity, and trustworthiness are foundational to our mission of becoming the world's mostreliable provider of full-spectrum blockchain and high-performance computing solutions. We welcome global talent to join us in shaping the future.
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.
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