![Clickatell](https://media.trabajo.org/img/noimg.jpg)
Data Engineer
3 days ago
Purpose
- As a Data Engineer, you will be joining our cross-functional data team, and supporting the design, build and testing of high-performance, scalable and multi-event level data solutions.
- You will work with structured, semi structured and unstructured data. You will play a critical role on the strengthen of our analytical presence in the Chat Commerce market.
We Do The Right Things
Responsibilities of the Role
- Design and develop scalable and robust pipelines for data consumption by downstream applications in support of advanced analytics, AI/ML products, and system interoperability.
- Identify opportunities for improvement of existing ETL processes to enhance data integrity and accuracy.
- Work in a scrum-based team that is passionate about enabling a data culture throughout the organization.
- Deliver a high degree of data availability, consistency, and accuracy for our current production systems.
- Actively participate in solution design and modelling to ensure data products are developed according to best practices, standards, and architectural principles.
- Work closely with the data architect, database administrators and BI developers, to redefine our approach to data pipelines and principles of reusability.
- Protect Clickatell's information, intellectual property and corporate data systems in accordance with prescribed guidelines.
We Are On A Learning Journey
Requirements of the Role
- National Diploma, B-Tech or bachelor's degree in engineering, computer science, or informatics.
Work Experience
- 3+ years of production data engineering experience.
- 2+ years of experience working in cloud environments.
- A background working in a high-volume payment transaction environment, or mobile technology platforms and systems integration would be advantageous and be able to demonstrate a sustained track record of delivering high-quality outputs, on-time and to product or business specifications.
- Exposure to Business Intelligence, data warehousing dimensional modelling will be advantageous.
- High transactional development environments and Business intelligence experience will be advantageous.
- Experience with data transformation tools such as Talend will be advantageous.
Knowledge and Abilities
- Excellent hands-on experience in working with SQL and NoSQL data sets.
- Experience with data streaming architecture.
- Working knowledge of DevOps principles such as CI/CD.
- Self-disciplined, eager to help, and most importantly a thirst for continual learning.
- Build on our coaching culture, you are someone who will not only be willing, but also passionate about assisting colleagues.
- Formal training business intelligence, data architecture or design would be advantageous.
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