JOB SUMMARY

This position is responsible for implementation of data services and modification and enhancement of data architecture, automation and planning.

MAJOR DUTIES AND RESPONSIBILITIES

1. Actively and consistently supports all efforts to simplify and enhance the customer experience.
2. Implement data services, data structure/models and data movement infrastructures.
3. Provide and implement preventative solutions and troubleshoot data job failures, including but not limited to error handling, data manipulation and I/O processing under minimal supervision.
4. Implement database concepts and practices, including definition and query language.
5. Modify, enhance, and influence requirements and architecture specifications of data warehousing systems and/or processing infrastructure.
6. Implement solutions with stakeholder teams to design, implement, and support end-to-end data solutions, across multiple platforms, environments, domains, and locations.
7. With minimal supervision, works closely with internal staff, vendors, consultants, and external partners to quickly identify and resolve data integration issues.
8. With minimal supervision, participate in the development of reporting processes, programs, and solutions as per established standards.

REQUIRED QUALIFICATIONS

Required Skills/Abilities and Knowledge

• Ability to perform in-depth and independent research and analysis with some guidance.
• Intermediate knowledge of SQL and Python (YAML – if applicable).
• Intermediate knowledge of Data Tools including querying, scripting, analysis, ETL, and command line interfaces.
• Intermediate knowledge of cloud-based infrastructures and services relevant to data processing, data automation and data platform/processing troubleshooting.
• Knowledge of Charter’s product data sources and data pipelines.
• Ability to apply appropriate level of data maintenance, data quality control and validation of code, tools, and models as directed.
• Intermediate knowledge of reporting development and visualization design.
• Experience with building use cases and providing development support to data scientists and data engineers.
• Experience with data lake – all data sources - building out data sets for use cases.
• Experience with building SQL databases and tables.
• Experience with querying and designing efficient warehousing structures.

Required Education

• Bachelor's degree in computer science, statistics, operations research and/or equivalent combination of education and experience.
• Prior internship, related coursework, or certification.

Required Related Work Experience and Number of Years

• ETL experience – 1+ years.
• Experience with SQL, Shell Script, Python, JSON – 1+ years.
• Data integration experience – 1+ years.
• Data visualization experience (Tableau, Alterx, Microstrategy) – 1+ years.
• Data/Software engineering experience – 1+ years.

WORKING CONDITIONS

• Office environment.