Data Engineer

MINIMUM QUALIFICATIONS You must meet ALL of the minimum qualifications listed below. Bachelor’s Degree from an accredited college or university Must have specialized experience in building and maintaining data pipelines in cloud-based tools such as Azure Databricks, Azure Data Lake, or similar platforms Must have specialized experience with Python or SQL Must have at least 1 year of specialized experience with containerization and building CI/CD pipelines using tools such as Docker, Kubernetes, Azure DevOps, or Jenkins Must have at least 1 year of specialized experience integrating REST and SOAP APIs to create and access data or to trigger procedures or commands Applicants must take a timed data engineer assessment test to demonstrate your knowledge of data engineer principles and methods. Please click on the assessment link below to take the data engineer assessment test. https://app.alooba.com/take-assessment/16vipfk DESIRABLE QUALIFICATIONS Knowledge of DevOps and Agile methodologies Advanced degree from an accredited college or university Professional Certification(s) in data engineering such as Azure Data Engineer Associate or AWS/Google Cloud equivalent Knowledge of integrating business intelligence tools (e.g., PowerBI) with cloud hosted data repositories (e.g., Azure Data Lakes) Knowledge of Microsoft Power Platform tools Proficiency in HTML, CSS, and JavaScript Understanding of database systems, including SQL and NoSQL Familiarity with deploying applications and understanding hosting environments EVALUATION FACTORS You must have the experience, knowledge and skills as listed in EACH of the evaluation factors. Failure to demonstrate that you meet all of the evaluation factor requirements as listed below will result in a score of zero (0); an ineligible status, and you will not be referred for further consideration. Include your major accomplishments relevant to the position requirements in your resume. Skilled in exploratory data analysis, data quality management, onboarding and maintaining large datasets and data pipelines using cloud-based tools like Databricks and open-source programming languages. Demonstrated mastery of languages such as Python and SQL. Skilled in integrating REST and SOAP APIs to create and access data or to trigger procedures or commands. Skilled in containerization and building CI/CD pipelines using tools such as Docker, Kubernetes, Azure DevOps, Jenkins. Strong ability to provide presentations or briefings of technical information both orally and in writing to clearly communicate analytical products, arguments, conclusions, and recommendations to executives, peers, and other stakeholders. Ability to set goals, priorities, and complete high-quality work in a timely, efficient, and professional manner applying project management practices such as agile and DevOps. You will no longer be considered for this position if you receive a zero (0) rating on any evaluation factor. Failure to demonstrate that you meet all evaluation factor requirements will result in a score of zero (0). Upon receipt of a zero score, you will be deemed “not minimally qualified,” and you will not be referred for further consideration. Candidates will be evaluated on the skills that they possess that are directly related to the duties of the position and the experience, education and training that indicate the applicant’s ability to acquire the particular knowledge and skills needed to perform the duties of the position. Only those candidates who meet all qualification and eligibility requirements and who submit the required information by 11:59 PM EST on 11/07/2024 will be considered.
*PLEASE NOTE THAT THIS VACANCY ANNOUNCEMENT IS ONLY OPEN TO CURRENT UNITED STATES POSTAL SERVICE OFFICE OF INSPECTOR GENERAL, UNITED STATES POSTAL SERVICE, UNITED STATES POSTAL INSPECTION SERVICE AND POSTAL REGULATORY COMMISSION EMPLOYEES. OTHER APPLICANTS WILL NOT BE CONSIDERED.