GCP Business Intelligence

CESNA, INC.
Englewood Cliffs, NJ, United States
3 months ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Languages
English, Korean
Job source

Tech stack

Amazon Elastic Compute Cloud Apache HTTP Server Apache Tomcat BigQuery Computer Engineering Elasticsearch Python (Programming Language) Machine Learning Redis ReactJS Flask (Web Framework) Information Technology

Job description

Design,develop and maintain Machine Learning reports with GCP ( Google Cloud Platform) -Provide insights to different stake holds -Engage cross-functionally to create as much Machine Learning reporting management as possible

2)Communication & Organization -Resolve problems and opportunities in the assigned timeframe to keep activities on track; -escalates any out-of-scope problems to the next level. -Support cross functional activities and process through communication

Requirements

1) GCP Developer & Python Developer -Experience : 3~5 years of experience in a related field -Required technical Skill a) GCP environment manage & Develop( Apache , Tomcat, react.js , Amchart&HighChart , Redis, elastic search) b) Python Develop development ( Python for ML , Flask, Bigquery, Compute Engine) 2)General skills required include:

  • Communicating and gathering requirement for any new enhancement or improvement in the application.
  • Analyzing the requirement with other team members and then preparing the high level and low level design.
  • Estimating the total efforts that would be required to complete the enhancement or improvement task within timeline.
  • Optional : understanding Order Processing, Demand Forecasting 3)Education and Others

  • Bachelor’s degree in Computer Science, Computer Engineering : Preferred
  • Bilingual(English and Korean) : Preferred but required

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:55 min

Demonstrating semantic routing thresholds with the Redis vector library

1:21 min

Exploring the target application for front end tests

Anna Mcdougall · JS Congress

2:30 min

Leveraging BigQuery ML for scalable SQL-based segmentation experiments

Julian Joseph · LIVE

2:27 min

Comparing cloud providers and their learning curves

Andrew Holway · LIVE

3:42 min

Comparing in-memory and Redis storage for cache scalability

Simone Sanfratello · World Congress 2022

1:06 min

Developer experience and project variety at scale

Alexandra Petri · World Congress 2023

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