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