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Data Engineer
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Full-time
- As a Data Engineer, you will be required to interpret business needs and select appropriate technologies and have experience in implementing data governance of shared and/or master sets of data.
- Working knowledge with software platforms and services, such as, Docker, Kubernetes, JMS/SQS, SNS, Kafka, AWS Lambda, NiFi, Airflow, or similar.
- Proficient experience utilizing JavaScript, Elasticsearch, JSON, SQL, XML.
- Working knowledge with datastores MongoDB/DynamoDB, PostgreSQL, S3, Redshift, JDBC/ODBC, and Redis.
- Expertise in various COTS, GOTS, and open source tools which support development of data integration and visualization applications.
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