Client Reference Code: 2025-47228
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 troubleshoot 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 issues.
- Independently 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 oversight from the manager.
- 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 levels 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.
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
2025-47228
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 2025-03-11 06:00 PM (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.
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