JOB SUMMARY
This position is responsible for implementation of data services and modification and enhancement of data architecture, automation and planning. It will have an emphasis on spatial analyses on large datasets.
MAJOR DUTIES AND RESPONSIBILITIES
Actively and consistently supports all efforts to simplify and enhance the customer experience
Implement data services, data structure/models and data movement infrastructures
Provide and implement preventative solutions and troubleshoots data job failures, including but not limited to error handling, data manipulation and I/O processing
Implement database concepts and practices, including definition and query language
Modify, enhance, and influence requirements and architecture specifications of data warehousing systems and/or processing infrastructure
Implement solutions with stakeholder teams to design, implement, and support end to end data solutions, across multiple platforms, environments, domains, and locations
Work closely with internal staff, vendors, consultants, and external partners to quickly identify and resolve data integration
Independently participate in 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 oversight from the managerIntermediate knowledge of SQL and Python (YAML – if applicable)Intermediate knowledge of Data Tools including querying, scripting, analysis, ETL, and command line interfacesIntermediate knowledge cloud-based infrastructures and services relevant to data processing, data automation and data platform/processing troubleshootingKnowledge 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 casesExperience with building SQL databases and tables Experience with querying and designing efficient warehousing structuresRequired Education
Bachelor's degree in computer science, statistics, operations research and/or equivalent combination of education and experience
Required Related Work Experience and Number of Years
ETL experience – 2+ years
Experience with SQL, Shell Script, Python, JSON – 2+ years
Data integration experience – 2+ years
Data visualization experience (Tableau, Alterx, Microstrategy) – 2+ years
Data/Software engineering experience – 2+ years
Preferred Qualifications:
GIS experience
Experience with ESRI ArcGis and/or Heavy.AI
Big data management experience working with distributed systems
Experience with Apache Spark
WORKING CONDITIONS
Office environment
Job Code : BDA314
2024-45401
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.
This job posting will remain open until 2024-12-31 07:00 AM (UTC) and will be extended if necessary.
The base pay for this position generally is between $88,200.00 and $156,600.00. The actual compensation offered will carefully consider a wide range of factors, including your skills, qualifications, experience, and location. We comply with local wage minimums and also, certain positions are eligible for additional forms of other incentive-based compensation such as bonuses.
FCC Unit: 13541 Business Unit: PTECH Zip Code: 80111
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