Vacancy expired!
- Lead efforts to produce value from Cox Communications structured/unstructured data assets utilizing data engineering methodologies in AWS
- Provide hands-on technical leadership in data engineering design and implementations including data ingestion, data models, data structures, data storage, high-throughput data processing, data pipelines, and data monitoring at scale
- Lead and mentor a high performing and engaged data engineering team. Drive clear communication, visibility, collaboration, and accountability within the team
- Support opportunities to advance data driven decision making, automation, and to streamline business processes
- Effectively partner and communicate with teams to remove blockers and propel delivery
- Liaise with key stakeholders within client teams to champion analytics
- 5+ years of experience in a data engineering role
- 3+ years of experience designing and managing data engineering projects
- Strong programming skills and ability to utilize a variety of software/languages/tools, e.g., Spark, Python, Scala, Java, C, Hive, SQL, etc.
- Experience developing and managing enterprise grade analytics solutions using Cloud platforms (i.e. AWS, Azure, Google Cloud, etc.) at every stage of the analytics lifecycle from ideation to production
- Strong communication skills. The ability to comprehend and communicate advanced data engineering concepts, business insights, and resulting implications to non-technical business partners. Ability to work in a diverse team
- Deep understanding of data domains, models, and implications for analytics use in at least one industry including telecommunications, cable, finance, media, advertising, or similar
- Degree in Computer Science, Engineering, or closely related field.
- Experience within telecommunications and/or cable industry
- Knowledge and experience with AWS Services including CloudWatch, EventBridge, EC2, EMR, RedShift, SQS, RDS, Neptune, Service Catalog, IAM, API Gateway
- Practical experience applying advanced data engineering approaches to mass transaction reduction and customer experience optimization
- Experience in data visualization solutions and tools
Vacancy expired!