Data Engineer at Clickatell
- Location: Lagos
- Job Type: Full-time
About Clickatell
Clickatell is a world-class Chat Commerce company, ambitious to stay ahead of its competitors.
We build our own culture in which we dream big and stay busy doing the right things.
We need champions who understand the bigger picture, believe in making a difference and are able to connect the dots to achieve success.
In our agile and demanding environment, you will be required to collaborate, ask the right questions and take the smart risk.
About the RoleÂ
- 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.
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.
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.
- Ability 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.
