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

Remote:

Full Remote

Experience:

Mid-level (2-5 years)

Work from:

Indiana (USA)

Offer summary

Qualifications:

2+ years of AWS ETL & data quality tools experience, Proficiency with ETL pipeline design and implementation.

Key responsabilities:

Design, implement and validate ETL processes
Ensure accuracy of data in data lakehouse

GoPro Consultancy Human Resources, Staffing & Recruiting Startup https://goproconsultancy.com/

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Job description

This is a remote position.

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;