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

goPro Consultancy Group ltd.
On-site
Posted 1 day ago
Data-Engineer

AI summary

The role involves designing and implementing ETL processes, ensuring data quality, and collaborating with an agile team to work on data integration from MongoDB to a data lakehouse.

Eligible from: US only4-6 hours per day in New York's normal office hours expected

Job Description

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

Details

Originally posted on Himalayas

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About the job

Posted on
Oct 6, 2026
Job type
Contract
Location
United StatesOn-site

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