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Data Center Tech - Engineer

Randstad Technologies

Location: Tampa, FL, 33607
Type: Full-Time, Temporary (unspecified), Non-Remote
Posted on: November 17, 2020
This job is no longer available from the source.
Randstad
807689
Job type: Full Time, Temporary/Contract/Project
Posted: Today
Industries: Computer Hardware; Computer Software; Computer/IT Services
Career level: Experienced (Non-Manager)
Tampa, FL 33607
Tampa, Florida, US
Date Posted: 11/17/2020 10:09:20 AM
job summary:
Data Engineer
Additional Responsibilities:
The Data Lab focuses on implementing solutions that impact efficiency and effectiveness of our clients' functions as they relate to storage, cataloging, and analytics. Process improvement, transformation, effective use of technology and data & analytics, and leveraging alternative delivery are key areas to drive value and continue to be recognized as the leading professional services firm. Data Labs is focused on identifying and prioritizing emerging technologies and preparing clients to get the most out of their emerging technology investments.
location: Tampa, Florida
job type: Contract
work hours: 8am to 5pm
education: Bachelors
responsibilities:
Custom Orgs:
Global Network: Technology Consulting
Global Competency Network: Data and Analytics Technologies
Go-To-Market: Not Applicable
Sector: Not Applicable
Programme Type: Experienced Hire
Job Requirements and Preferences:
Basic Qualifications:
Education: Minimum Degree Required,
•Bachelor Degree
Additional Educational Requirements:
•In lieu of a Bachelor Degree, 12 years of professional experience involving technology-focused process improvements, transformations, and/or system implementations
Minimum Years of Experience:
•3 year(s)
Preferred Qualifications:
Degree Preferred: Master Degree
Preferred Fields of Study:
•Business Analytics, Computer and Information Science, Mathematics
Preferred Knowledge/Skills:
•Demonstrates thorough knowledge and/or a proven record of success in the following areas:
•Azure Cloud computing platforms;
•Relational databases and writing SQL queries;
•Big data machine learning toolkits such as SparkML, messaging systems (Kafka) and NoSQL databases (Cosmos DB, Cassandra, HBase, MongoDB); and,
•Building data lakes.
•Data transfer systems such as Azure Data Factory, SnapLogic and Apache NiFi
Demonstrates thorough abilities and/or a proven record of success as a team leader including the following areas:
•Having a background in computer science and comfortable in programming in a variety of languages, including Java, Python, Scala and/or C#/.NET;
•Determining the appropriate software packages or modules to run, and how easily they can be modified;
•Handling large scale structured and unstructured data from internal and third party sources;
•Architecting highly scalable distributed data pipelines using open source tools and big data technologies such as Hadoop, Pig, Hive, Presto, Spark, Drill, Sqoop and ETL frameworks;
•Utilizing Linux shell scripting and containerization technologies (Docker, Kubernetes); and,
•Leading teams in a dynamic work environment while managing stakeholder expectations and scope.
qualifications:
•Experience level: Experienced
•Minimum 4 years of experience
•Education: Bachelors
skills:
•Data Analysis
Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.