Intermediate Data Engineer

Intermediate Data Engineer Minimum Requirements: Matric (Grade 12) Masters in Software Engineering, Data Engineering, Computer Science or related field 2-3 years of relevant work experience Strong Scala or Java background Knowledge of AWS, GCP, Azure, or other cloud platform Understanding of data modeling principles Ability to work with complex data models Experience with relational and NoSQL databases (e.g. Postgres, ElasticSearch/OpenSearch, graph databases such as Neptune or neo4j) Experience with technologies that power analytics (Spark, Hadoop, Kafka, Docker, Kubernetes) or other distributed computing systems Knowledge of API development and machine learning deployment Responsibilities: Build and scale data infrastructure that powers real-time data processing of billions of records in a streaming architecture Build scalable data ingestion and machine learning inference pipelines Build general-purpose APIs to deliver data science outputs to multiple business units Scale up production systems to handle increased demand from new products, features, and users Provide visibility into the health of our data platform (comprehensive view of data flow, resources usage, data lineage, etc) and optimize cloud costs Automate and handle the life-cycle of the systems and platforms that process our data Originally posted on Himalayas