Data Lakehouse/BI Specialist - FULLY REMOTE - Employee in USD
goPro Consultancy Group ltd. United States
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Why this grade This listing scored 38/100, which is an F. It lost the most ground on pay transparency. See the breakdown
- Description depth 20 / 20 How much the posting actually says about the work, measured in characters of real text.
- Corroboration 10 / 10 Whether more than one source carries this listing.
- Remote clarity 8 / 15 Whether "remote" means anywhere, or is quietly restricted to one country.
- Role specificity 6 / 10 Whether the listing is tagged well enough to tell what the role actually is.
- Freshness 4 / 15 How recently it was posted. Older postings are likelier to be filled or abandoned.
- Pay transparency 0 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.
-10 Ghost-job penalty — Deducted for signals that this posting may not be a real, currently-open role — staleness, repeated relisting, or talent-pool language.
Every figure above is arithmetic over the posting itself — its salary field, its text, its age, its tags and how many sources carry it. How the grades work →
Data Science Developer Mid level Contractor
Location:
For an international organization in New York, we are urgently looking for a REMOTE Data Lakehouse/BI Specialist. Candidates should be an experienced hands-on data lakehouse specialist with a history of working in an agile environment. Ideally, candidates should have hands on experience in designing and implementing data lakehouse architecture.
Candidates need to be fluent in English. All positions are long-term. This position is open for contractors and employees.
Candidates need to be able to work 4-6 hours per day in the normal office hours of New York, US.
Tasks and responsibilities:
- Work with an agile team to design and implement data lakehouse architecture and BI models;
- Translate design specifications and functional requirements into data lakehouse architecture and BI models;
- Data import, transformation and loading to data lakehouse from MongoDB;
- Develop and implement data visualization and interactive dashboards;
- Merge code into shared repositories, validate code, and perform quality assurance;
- Implement BI-based dashboard reporting to generate and share insights;
- +2 years of experience working with AWS BI and data lakehouse tools;
- Experience designing and implementing data lakehouse;
- Experience designing and implementing BI data visualization and interactive dashboards;
- Experience with Kafka or other similar large-scale messaging technologies;
- Experience implementing BI-based dashboard reporting;
- Experience with MEAN stack framework is an advantage;
- Knowledge and understanding of SDLC and Agile/Scrum procedures, CI/CD and Automation;
- A challenging role for an international organization in New York;
Details
Originally posted on Himalayas
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Where this listing came from
- 29 Jul 2026 Himalayas first sighting
Seen on 1 board over 62 days.