What are the responsibilities and job description for the Data Engineering Intern - UNT position at Paycom?
Description
The Data Engineer Intern will work closely with data engineers, data scientists, software developers, and IT to build, deploy, and optimize data pipelines and integrate data platform infrastructure for enabling analytics, reporting, and machine learning workloads at scale.
RESPONSIBILITIES
Build, test, and validate robust production-grade data pipelines that can ingest, aggregate, and transform large datasets according to the specifications of the internal teams who will be consuming the data
Configure connections to source data systems and validate schema definitions with the teams responsible for the source data
Troubleshoot data pipeline issues as they arise
Evaluate new data platform infrastructure tools for proof of concept trials
Qualifications
Education / Certification :
Bachelor’s Degree in Computer Science, Data Engineering, or similar quantitative field
Master’s Degree in progress for Computer Science, Data Engineering, or similar quantitative field
Experience :
0 to 2 years of data management experience implementing data solutions or coursework in applicable discipline
Experience coding in Java, Scala, or Python is required
Experience with SQL databases; experience with NoSQL solutions is helpful
Skills / Abilities :
Strong expertise in computer science fundamentals : data structures, performance complexities, algorithms, and implications of computer architecture on software performance
Working knowledge software engineering fundamentals including version control using Git
Ability to create SQL queries of moderate complexity.
Strong trouble-shooting skills.
Strong technical aptitude.
Strong critical thinking skills.
Excellent verbal and written communication skills.
PREFERRED QUALIFICATIONS
Education / Certification :
Bachelor’s Degree in Computer Science, Data Engineering, or similar quantitative field
Master’s Degree in progress for Computer Science, Data Engineering, or similar quantitative field
Experience :
2 years in a data management role
Skills / Abilities :
Experience working with HDFS or S3 storage environments
Experience with Apache Spark
Experience working in a Unix or Linux environment
Applicant should be actively enrolled at the University of North Texas.
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