Data Quality/ETL Specialist
New
United States, 4-6 hours per day in the normal office hours of New York, USFull-TimeJunior
Salary not disclosed
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Job Details
- Languages
- Fluent in English
- Experience
- +2 years of experience
- Required Skills
- AgileKafkaMongoDBSCRUMCI/CD
Requirements
- 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
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
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