Overview
Remote
On Site
Hybrid
$$50 / hr
Contract - W2
Contract - 1 day((s))
Skills
Data Engineer
Job Details
Job Description:
- 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, ensorflow 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 plus functions.
- Has excellent communication skills, ability to work individually and in a broader geographically dispersed team.
- 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, Snow Flake, Apache Nifi.
- 5+ years experience with building data pipelines in data lake 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.
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