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