Job Description
20 days ago
We are looking for a Senior Data Engineer to join our growing team in Hong Kong.
What you will be doing
⁎ Define the architecture of Measurable AI Analytics platform.
⁎ Build robust and scalable foundation of data, from logging to streaming pipelines, data filtering and email parser.
⁎ Implement our data stack using modern technologies such as Apache Spark, Kafka, HDFS and Cassandra.
⁎ Optimize our data pipelines and establish best practices for table schemas, data models and data storage.
⁎ Build efficient solutions on top of AWS, Azure using Python, Scala and Go.
About you
⁎ Minimum of 4 years experience building scalable backend systems.
⁎ Experience working on, and deploying, large scale systems
⁎ Experience working with and managing varied forms of distributed data systems such as Kafka, HDFS, Storm or Spark.
⁎ Experience working with popular cloud solutions such as AWS, Azure or GCP.
⁎ Knowledge of Docker and Kubernetes.
⁎ Love to work with high volume heterogeneous data and distributed systems.
Plus
⁎ Proven track record of working with large scale data infrastructure.
⁎ Experience working with Hadoop, Cassandra, MongoDB, Redis or MySQL.
⁎ Expert knowledge of SQL, MapReduce.
⁎ MS/PhD in Computer Science, Applied Mathematics or a related field.
⁎ Server side shell scripting experience.
Additional Information
⁎ Job Level: Mid
⁎ Experience Level: Mid Level
⁎ Job Category: Data Science
⁎ Related Specialization: Data Engineering
⁎ Specializations: Data Science, Data Engineering
⁎ Tags: Cloud Platforms, Docker, Kubernetes, Data Engineering
Company
In Measurable AI, we have an open work culture with an open floor plan. We channel a startup San Francisco vibe (one of our projects was a YC company), where we truly value meritocracy, honesty, and transparency.
What you will be doing
⁎ Define the architecture of Measurable AI Analytics platform.
⁎ Build robust and scalable foundation of data, from logging to streaming pipelines, data filtering and email parser.
⁎ Implement our data stack using modern technologies such as Apache Spark, Kafka, HDFS and Cassandra.
⁎ Optimize our data pipelines and establish best practices for table schemas, data models and data storage.
⁎ Build efficient solutions on top of AWS, Azure using Python, Scala and Go.
About you
⁎ Minimum of 4 years experience building scalable backend systems.
⁎ Experience working on, and deploying, large scale systems
⁎ Experience working with and managing varied forms of distributed data systems such as Kafka, HDFS, Storm or Spark.
⁎ Experience working with popular cloud solutions such as AWS, Azure or GCP.
⁎ Knowledge of Docker and Kubernetes.
⁎ Love to work with high volume heterogeneous data and distributed systems.
Plus
⁎ Proven track record of working with large scale data infrastructure.
⁎ Experience working with Hadoop, Cassandra, MongoDB, Redis or MySQL.
⁎ Expert knowledge of SQL, MapReduce.
⁎ MS/PhD in Computer Science, Applied Mathematics or a related field.
⁎ Server side shell scripting experience.
Additional Information
⁎ Job Level: Mid
⁎ Experience Level: Mid Level
⁎ Job Category: Data Science
⁎ Related Specialization: Data Engineering
⁎ Specializations: Data Science, Data Engineering
⁎ Tags: Cloud Platforms, Docker, Kubernetes, Data Engineering
Company
In Measurable AI, we have an open work culture with an open floor plan. We channel a startup San Francisco vibe (one of our projects was a YC company), where we truly value meritocracy, honesty, and transparency.
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