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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 “Infrastructure 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.