Data Engineer - Data Services

Posted Yesterday
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Hiring Remotely in Hong Kong Special Administrative Region of China
Remote
Entry level
Fintech • Payments • Financial Services
The Role
Design, maintain, and improve data lakes, operational databases, data pipelines, batch and real-time processing systems, and metadata and lineage repositories. Collaborate with data science and product teams to structure schemas, develop data models, integrate new data sources, and deliver reliable metrics and insights. The role involves cloud infrastructure, distributed systems, workflow orchestration, data streaming, containerization, CI/CD, and data security.
Summary Generated by Built In
About Mox
Mox is built by and for the ones who aspire to live life to the fullest – we call them Generation Mox!
The name Mox reflects the endless opportunities we can create, - Mobile eXperience; Money eXperience; Money X (multiplier), eXponential growth, eXploration… it’s all up for us to define together.
Why Mox
Mox helps you grow – your money, your world, your possibilities. We equip you with the financial management tools, information and insights you need to make your dreams, big or small, come true.
Everything at Mox – from our products, features, to rewards – is designed based on customer research, tailor made for your needs. We care about what customers care about, especially in data security and privacy. Data ethics is core to everyone here at Mox.
Mox rewards you with an array of banking and lifestyle benefits. Who says banking can’t be fun?
What we are looking for?

As a Data Engineer you'd be working with us to design, maintain, and improve various analytical and operational services and infrastructure which are critical for many other functions within the organization. These include the data lake, operational databases, data pipelines, large-scale batch and real-time data processing systems, a metadata and lineage repository, which all work in concert to provide the company with accurate, timely, and actionable metrics and insights to grow and improve our business using data. You may be collaborating with our data science team to design and implement processes to structure our data schemas and design data models, working with our product teams to integrate new data sources, or pairing with other data engineers to bring to fruition cutting-edge technologies in the data space.

Responsibilities

Highly relevant: (ideally familiar with at least one of the technologies in most of the below categories)
  • General computing concepts and expertise: Unix environments, networking, distributed and cloud computing
  • Python frameworks and tools: pip, pytest, boto3, pyspark, pylint, pandas, scikit-learn, keras
  • Workflow scheduling and monitoring tools: Apache Airflow, Luigi, AWS Batch
  • Columnar and big data databases: Athena, Redshift, Vertica, Hive/Hadoop
  • Container management and orchestration: Docker, Docker Swarm, ECS, EKS/Kubernetes, Mesos
  • CI / CD tools: CircleCI, Jenkins, TravisCI, Spinnaker, AWS CodePipeline
  • Distributed messaging and event streaming systems: Kafka, Pulsar, RabbitMQ, Google Pub/Sub
  • Streaming data processing frameworks: Spark Streaming, Apache Beam, Apache Flink
  • General AWS or Cloud services: Glue, EMR, EC2, ELB, EFS, S3, Lambda, API Gateway, IAM, Cloudwatch
  • Version control: git commands, branching strategies, collaboration etiquette, documentation best practices 
  • Agile/Lean project methodologies and rituals: Scrum, Kanban

Also good to have: (familiarity with any of the below concepts or technologies are a plus)
  • JVM languages, frameworks and tools: Kotlin, Java, Scala / Maven, Spring, Lombok, Spark, JDK Mission Control
  • RDBMS and NoSQL databases: MySQL, PostgreSQL / DynamoDB, Redis, Hbase
  • Enterprise BI tools: Tableau, Qlik, Looker, Superset, PowerBI, Quicksight
  • Data science environments: AWS Sagemaker, Project Jupyter, Databricks
  • Log ingestion and monitoring: ELK stack (Elasticsearch, Logstash, Kibana), Datadog, Prometheus, Grafana
  • Metadata catalogue and lineage systems: Amundsen, Databook, Apache Atlas, Alation, uMetric
  • Data privacy and security tools and concepts: Tokenization, Hashing and encryption algorithms, Apache Ranger

 

 

About
Mox is built by and for the ones who aspire to live life to the fullest – we call them Generation Mox! The name Mox reflects the endless opportunities we can create, - Mobile eXperience; Money eXperience; Money X (multiplier), eXponential growth, eXploration… it’s all up for us to define together.Why MoxMox helps you grow – your money, your world, your possibilities. We equip you with the financial management tools, information and insights you need to make your dreams, big or small, come true. Everything at Mox – from our products, features, to rewards – is designed based on customer research, tailor made for your needs. We care about what customers care about, especially in data security and privacy. Data ethics is core to everyone here at Mox.Mox rewards you with an array of banking and lifestyle benefits.

Skills Required

  • Familiarity with Unix environments, networking, distributed computing, and cloud computing
  • Experience or familiarity with Python tools and frameworks including pip, pytest, boto3, PySpark, pylint, pandas, scikit-learn, or Keras
  • Familiarity with workflow scheduling and monitoring tools such as Apache Airflow, Luigi, or AWS Batch
  • Familiarity with columnar and big-data databases such as Athena, Redshift, Vertica, Hive, or Hadoop
  • Familiarity with container management and orchestration tools such as Docker, ECS, EKS, Kubernetes, or Mesos
  • Familiarity with CI/CD tools such as CircleCI, Jenkins, Travis CI, Spinnaker, or AWS CodePipeline
  • Familiarity with distributed messaging and event-streaming systems such as Kafka, Pulsar, RabbitMQ, or Google Pub/Sub
  • Familiarity with streaming data-processing frameworks such as Spark Streaming, Apache Beam, or Apache Flink
  • Familiarity with AWS services including Glue, EMR, EC2, ELB, EFS, S3, Lambda, API Gateway, IAM, or CloudWatch
  • Experience with Git, branching strategies, collaboration, and documentation practices
  • Familiarity with Agile or Lean methodologies, Scrum, or Kanban
  • Familiarity with JVM technologies, relational or NoSQL databases, BI tools, data science environments, monitoring systems, metadata catalogs, or data privacy and security concepts
Am I A Good Fit?
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The Company
328 Employees
Year Founded: 2020

What We Do

Mox is a Hong Kong digital bank backed by Standard Chartered, with HKT, PCCW and Trip.com. It combines retail banking services and lifestyle benefits in one place, helping customers grow their money and broaden their possibilities. Delivered through a mobile app, its personalized digital experience aims to make everyday banking, spending and saving simpler, with customer research and data security and privacy at its core.

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