Data Engineer-Cl3814

What You'll Do

• Work in a scrum-based team that is passionate about enabling a data culture throughout the organization
• 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
• Deliver a high degree of data availability, consistency, and accuracy for our current production systems
• Actively participate in solution design and modeling 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.

What You Know

• 3+ years of production data engineering experience
• 2+ years of experience working in cloud environments
• Should have experience in the 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, and data warehousing (dimensional modeling) 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. 
• Excellent hands-on experience in working with SQL and NoSQL data sets
• Experience using GUI ETL tools
• 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
• Building on our coaching culture, you are someone who will not only be willing, but also passionate about assisting colleagues.
• Formal training in business intelligence, data architecture, or design would be advantageous 

Education

• B-Tech or Bachelor's Degree in Engineering, Computer Science or Informatics.