Data Engineer
Listed on 2025-11-25
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IT/Tech
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, Tensor Flow, 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 a 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 the role of a recognized subject matter expert in one or more functions.
Has excellent communication skills, with the ability to work individually and in a broader, geographically dispersed team.
Qualifications- Bachelor's degree required;
Master's preferred. - 8 years of relevant experience including several technology solutions such as Java, Big Data technologies, and data management tools.
- 5+ years of Data Ops and Dev Ops experience, building solutions using Hadoop technologies (Pig, Spark, Kafka), Python, and building version-controlled CI/CD pipelines using tools like Jenkins, Git Hub.
- 3-5 years of experience in designing, developing, and implementing Google and AWS cloud solutions.
- 5+ years of experience with relational database concepts, including star schema, Oracle, SQL, PL/SQL, SQL Tuning, OLAP, Big Data technologies, Snowflake, Apache Nifi.
- 5+ years of experience in building data pipelines in a data lake setup.
- 3 years of experience in architecting, designing, and implementing enterprise-scale projects/products and data management.
- 3-4 years of experience with Cerner, EPIC, and Lawson systems.
- 5+ years of secure data engineering and scripting (Shell, Python).
- 5 years of experience in healthcare data, building clinical and non-clinical solutions that drive patient outcomes.
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