Data Engineer
3 weeks ago
Purpose of Position
Under the direction of the Data Engineering Manager, The Data Engineer is responsible for the design, development, testing, and on-going management of the NetJets data pipeline processes. With limited guidance from senior team members, this role will utilize industry best practices to assemble and transform data from disparate systems into data stores. The ideal candidate will be curious and enthusiastic by the prospect of delivering accurate data to our stakeholders. This position will collaborate with business and team members to understand requirements and design robust data solutions.
Tasks and Responsibilities
Design, develop, and test data solutions to support enterprise reporting
Perform root cause analysis and troubleshooting/monitoring of existing processes
Collaborate with business and team members to understand/document requirements
Documentation and/or meeting with partners to support NetJets initiatives
Continuous learning and curiosity toward process improvement initiatives
Note: It is not possible to list all required job duties on this form. There may be other important duties assigned, depending on the position. For a full list of essential job functions, please refer to the essential functions worksheet for that position.
Education
Bachelor's in Computer Science or Information Technology
Certifications and Licenses
Years of Experience
2-4 years of experience
Core Competencies
Adaptability
Collaboration
Curiosity
Service-Oriented
Strives For Positive Results
Knowledge, Skills, Abilities and Other (KSAOs)
Demonstrated analytical and problem-solving skills
Demonstrated ability to work in a collaborative team environment
Proven ability to learn new concepts and technology quickly
Ability to work effectively with technical and business associates at all levels of the organization
Open to new ideas and practices; and a willingness to adapt as needed
Able to understand directions and willingness to ask questions
Demonstrated collaboration and communication skills across business and technology teams
SQL Development experience including use of stored procedures, triggers, and query tuning
Development experience with one or more industry standard DBMS platform
Has an understanding of data warehousing concepts
Has an understanding of data modeling techniques (eg dimensional, 3NF)
Familiar with cloud data platforms/PaaS environments (ie AWS, SnowFlake)
Development experience with at least one ETL tool; Informatica or Wherescape is preferred
Has an understanding of Change Data Capture (CDC) concepts
Has experience utilizing APIs for data ingestion
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