Canopy

Moneysmart (SG) - Data Engineer

Mid Level
Singapore
Data Engineer
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About Us

MoneySmart Group is South East Asia's leading personal financial portal helping consumers compare loans, insurance and credit cards. MoneySmart was founded in 2009 with the simple aim to help consumers make better financial decisions.

Who we're looking for

We are growing and we’re looking for talents to come onboard our Technology (Data) Team as a Data Engineer based in Singapore.

What you will be doing in this role
  • Build, deploy and manage big data solutions that can adequately handle the needs of a rapidly growing data-driven company
  • Build out scalable and reliable ETL pipelines and processes to ingest data from a large number and variety of data sources
  • Maintain and optimize the performance of our data analytics infrastructure to ensure accurate, reliable and timely delivery of key insights for decision making
  • Run Modern high-performance analytical databases and computation engines like RedShift, HBase, Postgres, ElasticSearch and others
Who you are
  • 2-4 years of relevant working experience
  • Experience with Data Warehouse Modelling and SQL
  • Experienced with ETL / ELT scripting and applications, preferably using PySpark
  • Experience working with Hadoop ecosystems & Spark architecture and building data-intensive applications and pipelines.
  • Fluent in at least one JVM language (Java/Scala/Clojure) and one scripting language (Python preferred but not necessary)
  • Ability to work with varied forms of logging/messaging systems (Kafka, Kinesis, RabbitMQ)
  • Experience working on cloud systems like AWS or Google Cloud Platform, workflow schedulers like Airflow
  • Very strong communication skills and ability to work collaboratively with peers and stakeholders in various time zones

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8 Commonwealth Ln, 04-02, Singapore 149555
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