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πŸ‘©β€πŸ’» Data engineer(Elastic Search)

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Data engineer(Elastic Search)

Company Name

Musetown

Company Location

Milpitas, CA

Company Website

Job Title

Data engineer(Elastic Search)

Job Description

Musetown is building a platform for brands and influencers to find the right partners through trusted data and insight.

We are looking for a talented back-end data engineer who is highly motivated, independent, and passionate about building things that can have a positive impact on people's lives.

Roles

You will be building the best influencer search engine in the world and the most scalable data infrastructure for it.

build and manage data infrastructure
develop influencer search engine, e.g. data crawling, data indexing, query tuning, etc
develop machine learning model for data insight
Identify and resolve performance issues

Qualities we’re looking for:

  • 3+ years of experience of working as a back-end data engineer
  • Experience building and managing data infrastructure
  • Experience building or applying ML/AI model to real world problems
  • Experience with Python, Javascript, node.js, jQuery
  • Experience with Elastic and/or Elastic Search is a strong plus
  • Ability to deliver on time
  • Ability to perform in a team environment
  • BS degree in Computer Science or relevant field
  • Experience working with 3rd party APIs, SQL, and data analytics tools is a plus
  • Experience working for a startup is a strong plus
  • Experience using GitHub in a team environment

Job Type

Full-time Employee, Full-time Contract

Remote work available?

Yes

Hiring Person Name

Sungho Lee

Hiring Person Email

sungho@muse.town

Salary Range

Negotiable

Desired Start Date

TBD

  • build and manage data infrastructure
  • develop influencer search engine, e.g. data crawling, data indexing, query tuning, etc
  • develop machine learning model for data insight
  • Identify and resolve performance issues

  • 3+ years of experience of working as a back-end data engineer
  • Experience building and managing data infrastructure
  • Experience building or applying ML/AI model to real world problems
  • Experience with Python, Javascript, node.js, jQuery
  • Experience with Elastic and/or Elastic Search is a strong plus
  • Ability to deliver on time
  • Ability to perform in a team environment
  • BS degree in Computer Science or relevant field
  • Experience working with 3rd party APIs, SQL, and data analytics tools is a plus
  • Experience working for a startup is a strong plus
  • Experience using GitHub in a team environment

  • Experience collaborating with data scientists, exposure to machine learning algorithms and/or statistical modeling methods.
  • Working knowledge of Java, Elastic Search or Solr , Kibana.
  • Cloud Platform offerings and capabilities (especially with Google Cloud)
  • Experience using β€œInfrastructure as code” (e.g. Docker, Ansible, Kubernetes, Nomad, Terraform, etc.)
  • Monitoring dashboards with tools such as Grafana, Prometheus, Metabase and otherwise
  • CI/CD, build and deployment technologies such as Jenkins, Spinnaker, Terraform
  • Working with big data pipelines and a batch processing scheduling system such as Apache Airflow
  • Building and distributing command line tools via Bash, Python, or otherwise
  • Unit Testing frameworks and methodologies
  • Familiar with using ELK stack or similar for log aggregation
  • Good to have experience with Logstash, Python.