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

This role focuses on building and maintaining data movement and quality processes for an international organization in New York. Day to day, the specialist will work with an agile team on ETL development, turn design and functional inputs into working pipelines, and handle data import, transformation, and loading into a data lakehouse from MongoDB. The job also includes merging code into shared repositories, checking that code is correct, carrying out quality assurance, and putting data checks in place to keep loaded data accurate. The advert names AWS ETL and data quality tools, MEAN stack experience, data cleansing and deduplication, ETL testing, and Kafka or similar messaging systems. It also mentions familiarity with SDLC, Agile/Scrum, CI/CD, and automation. Applicants should have more than two years of relevant experience and be fluent in English. The work is fully remote, but candidates must be able to work four to six hours per day during normal New York office hours. The position is open to contractors and employees, and it is intended for someone who can support a long-term project.