Integration Engineer

In addition to meeting the labor category requirements for which the candidate is submitted, candidates are also required to meet the following:

•Design, implement and enhance ETL (extract, transform and load) architectures.  Ensure architectures will support mission requirements.
•Participate in the development and maintenance of optimal data ingest architectures.
•Identify, design, and implement processes for automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
•Assess new data sources to better understand availability and quality of data. 
•Provide governance and best practices of data structures, data integrity, and querying.
•Develop data set processes for data modeling, mining, and production.
•Employ a variety of languages and tools (e.g. scripting languages) to marry systems together.
•Review data models for best practices and performance considerations.
•Recommend ways to improve data reliability, efficiency, and quality.

Required Skills:
•Strong understanding of developing data transformation pre-processors and data flow management leveraging NiagraFiles. 
•Working understanding of code and script (Java, Python, JavaScript, etc.
•Experience with cloud based data solutions (AWS preferred).
•Ability to translate business questions to technical specifications.
•Strong communication skills.

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