Senior Data Engineer
Singapore
Applications have closed
BitMEX
Welcome to BitMEX, Most Advanced Crypto Trading Platform for Bitcoin. Home to the Perpetual Swap, industry leading security, up to 100x leverage and a 100% verified customer base.The Company
BitMEX is the world’s leading cryptocurrency derivatives trading platform, which has pioneered cryptocurrency trading through relentless commitment to change, and continues to set benchmarks for innovation, liquidity, and security today.
As the world's most advanced peer-to-peer crypto-products trading platform and API, BitMEX gives knowledge, confidence, and precision to hundreds of thousands of traders, transacting billions of USD a day.
Join us, as we build a thriving cryptocurrency ecosystem through strategic investments in emerging cryptocurrency technology, and create the future of digital financial services.
Responsibilities:
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Lead design and implementation of appropriate data architectures, infrastructure, data ingestion pipelines and enablement tools, processes, and controls to help the Data Engineering team grow at scale
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Build scalable and reliable data pipeline that collects, transforms, loads and curates data from internal systems and external sources, provide consumable data for various analysis
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Work with engineering counterparts to shape the roadmap for data needs
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Implement risk monitoring systems to improve tracking and mitigation of several risks including money laundering, financial fraud and margin exposure
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Work closely with data scientists and collaborate with back-end, front-end engineers to build products for gathering timely insights about customer behavior, etc
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Create monitoring systems to track of the quality of data and the health of our systems
Qualifications:
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5+ years of experience owning and building data pipelines
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Demonstrated ability to build complex, scalable systems with high quality
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Extensive knowledge of data engineering tools, technologies and approaches
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Fluent in one or more of Python, Java and bash
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Experience with specific AWS technologies (such as S3, Redshift, and Kinesis)
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Experience with multiple data technologies and concepts such as Airflow, SQL, Hadoop, MapReduce, Spark, NATS, Redis, Zookeeper
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Experience in Kubernetes, Docker
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Experience in Data Encryption/Decryption
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Financial services experience is strongly preferred
Tags: Airflow APIs AWS Crypto Data pipelines Docker Engineering Hadoop Kinesis Kubernetes Pipelines Python Redshift Security Spark SQL
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