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About
Qualification Bachelors Required, Masters preferred 8 years of relevant required including several technology solutions such as Java, Big Data technologies and data management tools 5+ years of DataOps and DevOps experience, building solutions using Hadoop technologies (Pig,SPARK,KAFKA), Python and building version controlled CICD pipelines using tools like Jenkins, GitHub 3-5 years experience in design, development, and hands-on implementation of Google and AWS cloud solutions 5+ years in relational database concepts with a solid knowledge of star schema, Oracle, SQL, PL/SQL, SQL Tuning, OLAP, Big Data technologies, SnowFlake, Apache Nifi 5+ years experience with building data pipelines in datalake setup 3 years of Architecting, design and implementing "enterprise scope" projects / products and Data Management 3-4 years of experience in Cerner, EPIC and Lawson systems 5 years of Secure Data Engineering and scripting (Shell, Python) 5 years experience in healthcare data, building clinical and non-clinical solutions that drives patient outcomes
Nice-to-have skills
- Hadoop
- Java
- Kafka
- Pig
- PyTorch
- Python
- Spark
- TensorFlow
Work experience
- Data Engineer
- Fullstack
- Data Infrastructure
- Cloud Architect
Languages
- English
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