Spectrum is seeking to solve business problems related to customer experience, sales, and operations by leveraging data-driven insights. The Operational Analytics & Insight team aims to provide measurement and recommendations to inform digital strategies across Spectrum's 41-state footprint.
Requirements
- Experience: Data manipulation and statistical modeling as a Scientist, Consultant, Architect, DBA, or Engineer - 5+ Years; Programming Experience – 5+ Years
- Skills: One or more scripting, analysis, or ETL languages and ability to rapidly learn new languages or techniques
- Knowledge of large data sets and the tools to obtain, transform, and store data on Big Data, cloud, and streaming services
- Knowledge of data warehousing and data lake technologies such as Snowflake, Databricks, AWS, Azure, etc.
- Distributed computing tools such as Hadoop, Spark, or Map/Reduce
- Data visualization tools like Excel and Tableau
- Familiarity with the properties of the major families of machine learning techniques
Responsibilities
- Utilize data engineering skills to design, build, and maintain data infrastructure to make data accessible for various applications and users.
- Create and optimize data pipelines that transform raw data into usable formats for data scientists, business analysts, and other data consumers.
- Design, build, and maintain data warehouses, databases, and other data storage systems.
- Develop and optimize data pipelines to collect, clean, transform, and load data into the appropriate storage systems.
- Implement processes to ensure data accuracy, consistency, and timeliness.
- Implement security measures to protect data and ensure compliance with relevant regulations.
- Monitor and optimize the performance of data systems and pipelines.
Other
- Education: Bachelor’s degree in computer science, statistics, or operations research, or equivalent combination of education and experience
- Outstanding interpersonal, communication and stakeholder relationship skills
- Ability to work cross-functionally to solve complex problems
- Demonstrated analytical and problem-solving skills
- Hybrid Schedule: Four in-office days weekly
