What are the responsibilities and job description for the Senior Data Engineer/Architect position at Open Systems Technologies?
A healthcare technology firm is looking for a Senior Data Engineer / Architect to join their team in Jupiter, FL.
Compensation : $200-300k
Responsibilities :
Build and maintain data pipelines based on functional and non-functional requirements
Ensure that data pipelines incorporate best practices related to performance, scaling, extensibility, fault tolerance, instrumentation, and maintainability
Produce and maintain design and operational documentation
Analyze complex data problems and engineer elegant solutions
Stay up to date on emerging technologies and make relevant recommendations
Upgrade existing data models and pipelines leveraging newer features and techniques
Work in a Kanban environment
Mentor less experienced data engineers
Participate in engineering standards and best practices evolution
Participate in an on-call rotation
Lead investigations to troubleshoot pipeline issues
Qualifications : Required
Bachelor's degree in Computer Science, Information Systems, or related disciplines
10 years with hands-on data engineering and deep knowledge of data architecture fundamentals including :
Extensive experience building ETL / ELT pipelines from a variety of data sources
Broad experience with database and associated technologies for moving and storage of data
Experience evaluating and selecting tools and technologies based on fitness for purpose and stakeholder requirements
Knowledge and experience with concepts such as performance tuning, execution plan analysis, and index optimization in at least one database technology (e.g., T-SQL, PL-SQL, NoSQL, etc.)
Experience creating and maintaining a wide variety of database objects including, tables, views, functions, stored procedures, etc.
Experience with data modeling indexes, temporal tables, CLR, etc.
Understanding of the development of data pipelines using multiple external data sources and transport mechanisms
Strong analytical skills, a real passion for working with data and strong interest in solving data problems
Strong track record for judging core requirements and meeting deadlines
Experience managing master data
Experience writing C#, PowerShell, and Python
Experience with Git source control
Experience working in a Kanban SDLC and a strong understanding of traditional Kanban SDLC workflows
Experience with deploying changes through segregated Development, QA, UAT and Production SDLC stages
Experience owning mission-critical processes
Preferred
Python programming using libraries such as Pandas, Numpy, csv, Traceback, JSON, PyODBC, Math
Experience with source code branching and pull requests / code reviews
Experience with AWS
Experience working with clinical and / or consumer healthcare data
Experience with tools such as Red Gate, Grafana, OpsGenie and JAMS
MS / PhD in Computer Science, Information Systems, or related disciplines
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