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Data EngineerOmni Inclusive • United States
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Data Engineer

Omni Inclusive
  • +4
  • +8
  • US
    United States
  • +4
  • +8
  • US
    United States
Jetzt Bewerben

Über

Drives successful solution adoption and implementation for medium to complex portfolios Works on several large and enterprise wide projects. Participates in strategy design and leads initiatives Designs solutions for large scale initiatives Has Intermediate to advanced skills in python, Pytorch,tensorflow and other deep learning frameworks Is an expert in working with large databases, BI applications, data quality, and performance tuning Has expert knowledge of developing end-to-end business intelligence solutions: data modeling, ETL, and reporting Has deep understanding of data gathering, inspecting, cleansing, transforming, and modeling diagramming techniques Deep understanding and experience in Microservices architecture May act as an escalation point for others Has outstanding written and communication skills Identifies and drives process improvement Responsible for improving availability, security, compliance, interoperability, performance and reengineering activities Grows into role of a recognized subject matter expert in one or more functions Has excellent communication skills, ability to work individually and in a broader geographically dispersed team
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

Wünschenswerte Fähigkeiten

  • Hadoop
  • Java
  • Kafka
  • Pig
  • PyTorch
  • Python
  • Spark
  • TensorFlow
  • United States

Berufserfahrung

  • Data Engineer
  • Fullstack
  • Data Infrastructure
  • Cloud Architect

Sprachkenntnisse

  • English
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