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

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:

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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