Austin, TexasPosted 11/26/2024Business unit: Spectrum EnterpriseAreas of interest: Information Technology, Research/Analysis, Systems EngineeringRequisition Number: 2024-43512EGN319
Do you want to profile data to measure quality, integrity, accuracy and completeness while providing effective data solutions? You can do that. Ready to maintain scalable, reliable, consistent and repeatable systems that support data operations? As a Data Engineer IV at Spectrum Enterprise, you can do that.
Spectrum Enterprise provides modern enterprise technology solutions that meet the unique needs of some of the country’s biggest brands. If you’re looking to build your most successful career, support client growth and work alongside intelligent, driven professionals, you can do that. We're ready to go all in on your future and create an engaging environment.
BE PART OF THE CONNECTION:
You create and maintain data support systems for reporting, analytics, applications and data science. You deliver effective solutions by developing, testing and implementing code and scripts while developing data set processes for data modeling, mining and consumption. You collaborate with teams in person and digitally within an office environment.
HOW YOU CAN MAKE A DIFFERENCE:
Create and maintain systems to support data operations.
Collect and process raw data at scale, including writing scripts, web scraping, calling APIs and writing SQL queries.
Maintain, improve, clean and manipulate data using ETL processes.
Design, build and automate the machine learning data pipeline.
Work with analysts, data scientists and stakeholders on the data demand side.
WHAT YOU BRING TO SPECTRUM ENTERPRISE
Required qualifications:
Experience: Three or more years of experience as a Linux, Unix or CentOS system administrator; Five or more years of experience with RDMNS, SQL, scripting and coding.
Education: Bachelor’s degree in a related field or equivalent experience.
Technical skills: Knowledge of coding and scripting using Python, R or shell scripts; Experience with SQL, Tableau and ETL techniques; Expert in data storage; Familiar with Spark, Hadoop, JavaScript, API, Rest API or data extract APIs; History of working with Tableau, Denodo, Teiid or Jboss; Data workflow or data preparation platform experience using Informatica, Pentaho or Talend; Proficient in Microsoft Office.
Skills: English communication skills.
Abilities: Ability to identify and resolve end-to-end performance, network, server and platform issues.
Preferred qualifications:
Experience creating proof of concept experiments for analytics, machine learning or visualization tools.
Experience with Starburts, Trino, and Apache Airflow.
WHAT YOU CAN ENJOY EVERY DAY:
Embracing diversity: A culture of excellence that celebrates diversity, innovative thinking and dedication to exceeding client expectations.
Learning culture: Company support in obtaining technical certifications.
Dynamic growth: Paid training and clearly defined paths to advance within the company.
Here, employees don’t just have jobs, they build careers. That’s why we believe in offering a comprehensive pay and benefits package that rewards employees for their contributions to our success, supports all aspects of their well-being, and delivers real value at every stage of life.
A qualified applicant’s criminal history, if any, will be considered in a manner consistent with applicable laws, including local ordinances.
Get to Know Us Charter Communications is known in the United States by our Spectrum brands, including: Spectrum Internet®, TV, Mobile and Voice, Spectrum Networks, Spectrum Enterprise and Spectrum Reach. When you join us, you’re joining a strong community of more than 100,000 individuals working together to serve nearly 32 million customers in 41 states and keep them connected to what matters most. Watch this video to learn more. Who You Are Matters Here We’re committed to growing a workforce that reflects our communities, and providing equal opportunities for employment and advancement. EOE, including disability/vets. Learn about our inclusive culture.
