Data Engineer-Safety & Security Research

PRIMARY PURPOSEDemonstrates considerable expertise in data engineering.  Applies this specialized expertise in a range of projects.  Provides advice to project directors on matters related to data engineering and is able to recommend best practices and proactively identify challenges to be addressed. JOB DESCRIPTION AND/OR DUTIES1. Works independently under general supervision to lead and manage multiple projects of low to medium size and/or complexity simultaneously or larger, more complex projects that address a subject of expertise. 2. Demonstrates an advanced knowledge of principles, theories, and concepts to conduct research and analysis in support of projects within a given subject of expertise. 3. Prepare project reports and briefings. 4. Provide advanced knowledge and expertise related to project development. 5. Participate in identifying and pursuing business development opportunities related to a subject of expertise. 6. Develop and maintain professional contacts with decision makers and contract administrators at targeted agencies. 7. Actively support the development of proposals and marketing efforts in areas of expertise. 8. Advise management on planning, pursuit and success related to projects associated with proven areas of expertise. 9. Perform other duties as assigned. JOB REQUIREMENTS1. Education: Bachelor's degree in related field required. Advanced degree preferred. 2. Experience: Minimum 5-8 years’ experience in the field(s) of expertise. 3. Skills:Strong interpersonal skills and written and oral communication skills. Experience building and operating systems of data extraction, ingestion, and processing of large data sets Demonstrated knowledge of data warehouse design and data warehousing data population techniques for target structures for large datasetsExperience in ETL toolsDevelopment of large-scale batch and real-time data pipelinesStrong SQLStrong Python programmingStrong relational database knowledge, including a broad understanding of data architecture and data performance tuning for large datasetsExperience building API connections Understanding of coding versioning tools and code repositories Experience with DataOps practices preferred Experience with Azure-based data lake/data warehouse solutions preferred

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