Company Name
Musetown
Company Location
Milpitas, CA
Company Website
Job Title
data engineer(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 issuesQualities 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 environmentJob 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.