- Design, construct, install, test and maintain data management systems.
- Build high-performance algorithms, predictive models, and prototypes.
- Ensure that all systems meet the business/company requirements as well as industry practices.
- Integrate up-and-coming data management and software engineering technologies into existing data structures.
- Develop set processes for data mining, data modeling, and data production.
- Create custom software components and analytics applications.
- Research new uses for existing data.
- Employ an array of technological languages and tools to connect systems together.
- Collaborate with members of your team (eg, data architects, the IT team, data scientists) on the project's goals.
- Install/update disaster recovery procedures.
- Recommend different ways to constantly improve data reliability and quality.
About the recuiterMember since Mar 14, 2020 Rajendra Prajap
from North Rhine-Westphalia, Germany