Associate - Data Engineering - D360 Bank - Riyadh, المملكة العربية السعودية - Talent Pal
وصف
The role is responsible for the design, implementation, and maintenance of data flow channels and data processing systems that support the collation, storage, batch and real-time processing, and analysis of information in a scalable, repeatable, and secure manner.
He/she focuses on defining optimal solutions to data collection, processing, and warehousing. He/she designs, codes and tests data systems and works on implementing them into the internal infrastructure.He/she focuses on collecting, parsing, managing, analyzing, and visualizing large sets of data to turn information into insights accessible through multiple platforms.
D360 Bank is a shariah-compliant digital bank that aims to provide the best financial experience in the Kingdom.Our Vision:
To reinvent finance through innovation & technology making it convenient, accessible & fair to all.
- Preferred Qualifications
- A tertiarylevel qualification in from an internationally / regionally recognized institution.
- Years & Nature of Experience
- Will be a fresh graduate with 3 years of experience in the same or a similar domain
- If with experience, would have been accountable for the completion of assigned tasks and project work and has developed a level of competence to carry out work independently
- Technical Competencies
- Data Management and Technologies
- Systems Integration
- Project Management
- Behavioural Competencies
- Communication
- Collaboration
- Problem solving
- Responsibilities
- Assist in Automate data collection and analysis processes, and data releasing and reporting tools
- Support on tools development to improve data flows between internal and/or external systems and data warehouse
- Facilitate data cleansing, enrichment, and data quality improvements
- Record data sources, models, and algorithms used and developed in past projects
- Assist with integration of data systems with existing infrastructure
- Work with stakeholders to understand the needs for data structure, availability, and accessibility
- Support translation of data needs into technical system requirements
- Support identification of internal and external data sources
- Support handling and logging of errors
- Monitor data system performance
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