COSMOS - Data Engineer III
COSMOS - Data Engineer III
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1 Vacancy
Job Description
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Closing Date:
Type of Position:
Professional Staff (NonClassified)
Workstudy Position:
Job Type:
Regular
Work Shift:
Sponsorship Available:
Institution Name:
University of Arkansas at Little RockThe University of Arkansas at Little Rock is a metropolitan research university that provides an accessible quality education through flexible learning and unparalleled internship opportunities. At UA Little Rock we prepare our more than 8900 students to be innovators and responsible leaders in their fields. Committed to its metropolitan research university mission UA Little Rock is a driving force in Little Rocks thriving cultural community and a major component of the city and states growing profile as a regional leader in research technology transfer economic development and job creation.
Below you will find the details for the position including any supplementary documentation and questions you should review before applying for the opening. To apply for the position please click theApply link/button.
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Department:
COSMOS
Departments Website:
The position reports to: Dr. Nitin Agarwal MauldenEntergy Endowed Chair and Distinguished Professor and Director COSMOS Research Center UALittle Rock.
Qualifications:
Required Education and/or Experience:
The candidate must have a masters degree in Computer Science Information Science or a related discipline;
The candidate must have 2 years of experience as a data engineer/software developer/software engineer/database administrator or other similar roles;
The candidate must have 1 years of experience leading a team of data engineers.
Job Duties and Responsibilities:
Lead a team of data engineers;
Collecting and analyzing raw data from various sources including social media platforms;
Organize and maintain datasets;
Improving data quality and process efficiency;
Design and manage data ETL pipelines that encompass the journey of data from source to destination systems processing 10 million data points daily utilizing Kafka for realtime data streaming and MongoDB for NoSQL storage across Kubernetes clusters;
Design and deploy scalable microservices in Python and Golang leveraging FlaskAPI GraphQL and Docker ensuring subsecond response times and efficient concurrency with goroutines.
Migrate large amounts of data from legacy databases to MongoDB to achieve subsecond access latencies and optimize storage for unstructured data through Elasticsearch integration;
Setup and manage the infrastructure required for ingestion processing and storage of data;
Evaluate the model needs and objectives interpret trends and patterns of data;
Conduct complex data analysis and report on results;
Prepare data for analysis and reporting by transforming and cleansing it;
Combine raw information from different sources;
Explore ways to enhance data quality and reliability;
Identify opportunities for data acquisition;
Develop analytical tools and programs;
Collaborate with teams at COSMOS on several projects;
Managing services and operational infrastructure for system reliability and resiliency;
Creating continuous integration continuous deployment (CI/CD) pipelines with Jenkins and GitLab CI for automating service/system deployment;
Integrate Prometheus for monitoring Grafana for realtime dashboarding/visualization and log analysis with Kibana sourced from Elasticsearch;
Frontend development (HTML/CSS JavaScript etc.;
Training machine learning (ML) models on datasets;
Deploying machine learning (ML) models;
Enhance the systems fault tolerance by incorporating alerting mechanisms;
Work on other tasks as asked.
Knowledge Skills and Abilities:
Advanced proficiency level in working with data models data pipelines ETL processes data stores data mining and segmentation techniques;
Advanced proficiency level in working with programming/scripting languages (e.g. Java and Python);
Advanced proficiency level in working with data integration platforms and SQL database design;
Advanced proficiency level in working with numerical analytical and data security skills;
Advanced proficiency level in collecting raw data from various social media platforms;
Advanced proficiency level in creating CI/CD pipelines;
Advanced proficiency level with frontend development (HTML/CSS JavaScript etc.;
Advanced proficiency level with training and deploying machine learning (ML) models on datasets;
Ability to lead a team of data engineers;
Advanced proficiency level with Kafka and MongoDB for NoSQL storage across Kubernetes clusters;
Advanced proficiency level with microservices Python Golang FlaskAPI GraphQL and Docker;
Advanced proficiency level with Elasticsearch Grafana Prometheus and Kibana.
Additional Information:
Salary Information:
Required Documents to Apply:
Optional Documents:
Special Instructions to Applicants:
Recruitment Contact Information:
MauldenEnergy Chair and Donaghey Distinguished Professor
Director COSMOS Research Center
All application materials must be uploaded to the University of Arkansas System Career Site
Please do not send to listed recruitment contact.
Preemployment Screening Requirements:
Criminal Background Check Sex Offender RegistryThe University of Arkansas at Little Rock is committed to providing a safe campus community. We conduct background checks for applicants being considered for employment. Background checks include a criminal background check and a sex offender registry check. For certain positions there may also be a financial (credit) background check a Motor Vehicle Registry MVR check and/or drug screening. Required checks are identified in the position listing. A criminal conviction or arrest pending adjudication or adverse financial history information alone shall not disqualify an applicant in the absence of a relationship to the requirements of the position. Background check information will be used in a confidential nondiscriminatory manner consistent with state and federal law.
The University of Arkansas is an equal opportunity institution. The University does not discriminate in its education programs or activities (including in admission and employment) on the basis of any category or status protected by law including age race color national origin disability religion protected veteran status military service genetic information sex sexual preference or pregnancy. Federal law prohibits the University from discriminating on these bases. Questions or concerns about the application of Title IX which prohibits discrimination on the basis of sex may be sent to the Universitys Title IX Coordinator and to the U.S. Department of Education Office for Civil Rights.Persons must have proof of legal authority to work in the United States on the first day of employment.
All application information is subject to public disclosure under the Arkansas Freedom of Information Act.
Constant Physical Activity:
Hearing Manipulate items with fingers including keyboarding Repetitive Motion Sitting Standing Talking Walking
Frequent Physical Activity:
Hearing Manipulate items with fingers including keyboarding Repetitive Motion Sitting Standing Talking Walking
Occasional Physical Activity:
Hearing Manipulate items with fingers including keyboarding Repetitive Motion Sitting Standing Talking Walking
Benefits Eligible:
YesEmployment Type
Full-Time
