Data Engineer

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