Data Quality/ETL Specialist

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