- Client Name: Zions
- Job Title Data Engineer
- # of openings: 1
- Start Date: asap
- Duration: 6 months
- Max Subs: 4
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- Location....Salt lake City Utah - remote
- Fully Approved and funded? yes
- Contract-or Contract to Hire- or Perm: Contract
- Chance for extension (if contract)?
- Work Status acceptable (USC/GC/ STRSI managed H1B is ok
- Interview Process - how many, with whom, when interviews start, how long will process take start to finish: 1
- What is the reason that the position open?
- How long has the position been open?
- If it has been open: How many candidates have been received/interviewed - feedback on why they did or didn't meet expectations
- Do we have direct contact with the hiring manager? no
Data Engineer TECHNICAL SKILLS Must Have 3-5 years CI/CD tools 3 -5 years Git/Github ADO API a Python Developer •Experience with Docker, Kubernetes Nice To Have Apache Kafka Automated Testing BDD Behavior Driven Development JSON As a Data Engineer, you'll provide your talents in contributing to the success of the Zions team by delivering the following: Responsible for developing and deploying enterprise grade platforms that enable data-driven solutions. Automate and maintain scalable infrastructure. Ensures delivery of a highly available and scalable systems. Monitor all systems and applications and ensure optimal performance. Research and test new tools and applications. Analyzes and designs technical solutions to address business needs. Participate in troubleshooting applications and systems issues. Identifies, investigates and proposes solutions to technical problems. Develops, tests, and modifies software to improve efficiency of data platforms and applications. Provides technical support for issues. Monitors system performance to maintain consistent up time. Provides technical expertise where required within Information Technology Projects. Prepares and maintains necessary documentation. Participate in regular agile ceremonies, such as program increment planning, daily standups, team backlog grooming, iteration retrospectives, team demos and inspect & adapt, etc. Keep up with the committed features and stories in the team backlog. Work with the project manager/scrum master to remove impediments. Serve in the goalie rotation to support Production. Support test and QA efforts on the various data projects. Coordinate with data operations teams to deploy changes into production. Highest level may function as a lead. Other duties as assigned. Qualifications Requires a Bachelor's in Computer Science, Computer Engineering or related field and some experience ADO/GIT, ETL, SQL, UNIX/Linux, Docker/Kubernetes, API Development, JSON, Kafka, Automated Testing, BDD, Big Data distributed systems, various programming languages like Java and Python, orchestration tools and processes or other directly related experience. A combination of education and experience may meet qualifications. Basic knowledge of search technology, building real-time data pipelines and various programming languages like Java and Python. Knowledge of ETL, UNIX/Linux, scheduling and orchestration tools and processes. Good analytical, organizational and problem-solving skills. Ability and desire to learn new technologies quickly. Ability to elicit, gather and analyze user requirements. Ability to work independently and collaborate with others at all levels of technical understanding. Able to meet deadlines. Good judgment and project management skills. Ability to communicate both verbally and in writing with both technical and non-technical staff. Ability to work in a team environment and have good interpersonal skills. Ability to adapt to changing technology and priorities. Must be able to work independently, handle multiple concurrent projects, with an ability to prioritize and manage projects effectively. Must be able to interpret, validate and map business requirements to an appropriate solution.
