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Data Quality/ETL Specialist - FULLY REMOTE - Employee in USD

goPro Consultancy Group ltd. · United States

Remote Full-time Data Science External

Remote roles may have location, time-zone, or work-authorization requirements. Review the employer's requirements before applying.

Posted by source:

Application deadline: December 20, 2026

Job description

Source: Himalayas — original listing

Category: IT Services

Location

For an international organization in New York, we are urgently looking for a REMOTE Data Quality/ETL Specialist with MEAN stack framework experience. 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 ETL (Extract, Transform, and Load) processes;
  • Translate design specifications and functional requirements into ETL processes;
  • Data import, transformation and loading to data lakehouse from MongoDB;
  • Merge code into shared repositories, validate code, and perform quality assurance;
  • Implement data quality measures to ensure accuracy of data loaded into data lakehouse;

Profile

  • +2 years of experience working with AWS ETL and data quality tools;
  • Experience designing and implementing ETL pipeline;
  • Experience with data cleansing and deduplication methods;
  • Experience with MEAN stack framework;
  • Experience with ensuring data accuracy and ETL testing;
  • Experience with Kafka or other similar large-scale messaging technologies;
  • Knowledge and understanding of SDLC and Agile/Scrum procedures, CI/CD and Automation;
  • Fluent in English;

Offered

  • A challenging role for an international organization in New York;
  • Attractive salary package;

Interested: Please send your CV to

DetailsOriginally posted on Himalayas

Time-zone restrictions (UTC offsets): -10, -9, -8, -7, -6, -5, 14

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