Data Science Engineer
Infotree Service Inc
San rafael, San Jose, CR
hace 13 horas

Job Description

Experience in Machine learning.

  • Programming languages - Java, Scala, Python or similar.
  • Stream processing systems such as Kafka, Kinesis, Pulsar or Similar.
  • Data processing frameworks such as Apache Spark, Flink or Similar.
  • Expertise in SQL and No-SQL Apache Cassandra, DynamoDB, MySQL, Snowflake or Similar.
  • Requirements :

  • Bachelor’s degree in computer science or Similar discipline.
  • 8+ years of experience in software engineering.
  • 3+ years of experience in data engineering.
  • Go above and beyond attitude.
  • Ability to work in fast paced, high pressure, agile environment.
  • Ability and willingness to learn any new technologies and apply them at work in order to stay ahead of the curve. Expertise in at least few programming languages - Java, Scala, Python or similar.
  • Expertise in building and managing large volume data processing (both streaming and batch) platform is a must.
  • Expertise in stream processing systems such as Kafka, Kinesis, Pulsar or Similar Expertise in building micro services and managing containerized deployments, preferably using Kubernetes Expertise in distributed data processing frameworks such as Apache Spark, Flink or Similar.
  • Expertise in SQL and No-SQL Apache Cassandra, DynamoDB, MySQL Expertise in OLAP databases such as Snowflake or Redshift.
  • Experience in operationalizing and scaling machine models is a huge plus.
  • Experience with variety of data Tools & frameworks (example : Apache Airflow, Druid) will be a huge plus.
  • Describe the responsibilities and keys to success of the job

  • Experience with Analytics Tools such as Looker, Tableau is preferred.
  • Cloud (AWS) experience is preferred Ability to learn and teach new languages and frameworks.
  • Direct to consumer digital business experience preferred Advertising Tech domain expertise will be a huge plus.
  • Strong interpersonal, communication and presentation skills.
  • Strong team focus with outstanding organizational and resource management skills
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