Data Quality/ETL Specialist - FULLY REMOTE - Contractor in USD
goPro Consultancy Group ltd. · Remoto · New York
Recebendo candidaturas · conferida em 08/09
Ficha da vaga
- Modelo
- Remoto
- Onde aceita
- Não informado
- Senioridade
- Júnior
- Salário
- Salário não divulgado
Fonte: Himalayas · Ver vaga original →
- metodologias ageis
- git github
- nodejs
- ci cd
- cloud basico
Organizei a descrição em seções com IA. O texto completo da vaga está logo abaixo.
Sobre a vaga
An international organization in New York is seeking a remote Data Quality/ETL Specialist with MEAN stack framework experience to work with an agile team on ETL processes, data imports from MongoDB, and quality assurance.
O que você vai fazer
- 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
O que pedem
- +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
Descrição completa da vaga
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
Perguntas e respostas sobre a vaga
- Aceita candidatos de onde?
- A vaga não diz.
- Qual o regime de contratação?
- A vaga não diz.
- É remota?
- Sim, é remota.
- Informa salário?
- Não, a vaga não divulga.
Nenhuma vaga séria cobra para você se candidatar, e eu nunca peço dado bancário dentro de uma candidatura. O plano pago é cobrado só pelo Asaas, meu parceiro de pagamento.
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