Category: IT Services
Location:
- 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;
- +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;
- A challenging role for an international organization in New York;
- Attractive salary package;
Originally posted on Himalayas