Vacancy expired!
- Complex
- Highly elastic
- Based on some of the latest and greatest cloud native technologies
- Very fast paced
- Enabling a proper enterprise Data Lake in AWS
- Engaging regularly with stakeholders to understand and implement business logic
- Building models and tools to get value out of the mass amounts of data we have in our environment
- Enabling the best, most personalized and resilient customer experience possible.
- Highly motivated, driven & hard working
- Not afraid to fail and comfortable working independently and with a team
- Comfortable working with massive datasets in real time and batch processing with superior analytics skills
- Comfortable talking to and working with Senior Executives
- Apply data mining techniques, do ad-hoc analysis and present results in a clear manner.
- Processing, cleansing, and verifying the integrity of data used for analysis
- Enhancing data collection procedures to include information that is relevant for building analytic systems
- Basic statistical hypothetical testing
- 2+ years professional enterprise experience
- Working knowledge of data analysis and visualization tools, such as Microsoft PowerBI and Tableau
- Functional experience with database software, such as AWS Athena, Redshift, MySQL
- Signicant attention to detail and an ability to quickly spot and x problems
- Experience working in a team setting and desire to take leadership roles within a team
- Detail-oriented and a strict attention and appreciation for deadlines.
- Strong SQL experience
- Dashboarding experience using Tableau or similar tools
- Python
- New-Relic
- AWS Big Data Tools: S3, Kinesis, Red Shift, Athena
- S .in computer science, software engineering, computer engineering, electrical engineering, or related area of study.
Vacancy expired!