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Data Engineer/Analyst

Experience – 5+

Timeline – Immediate.

The current tools and tech stack relevant to the role are:

Elasticsearch: datastore where processed data is stored and would be queried from

Kibana, Grafana: platforms for building and hosting visualizations and dashboards

Strong proficiency with Python, especially towards data handling and analytics:

Data handling and manipulation libraries (i.e. pandas, numpy)

Visualization libraries (e.g. seaborn, matplotlib)

Dashboarding libraries to build and host dashboards (e.g. Bokeh)

Basic proficiency with modeling (e.g. sklearn, linear regression)

Python is also currently used for its libraries in connecting and querying from Elasticsearch, as well as reporting through Slack

Job Category: Data Analyst
Job Type: Full Time
Job Location: Remote

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