Ozow is the future of payment as we know it. An oh-so (or Ozow) easy, automated and ultra-secure EFT solution that helps customers pay in just a few seconds, merchants can initiate Ozow payments through a variety of payment platforms, such as SMS, eCommerce, eBilling, QR Code and instore Point-of-Sale (POS).
Through Ozow’s precise and secure system (tha...
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You will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross-functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up.
They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimising or even re-designing our company’s data architecture to support our next generation of products and data insights and solutions.
Requirements
10+ years of experience in developing data solutions including analysis, design, coding, testing, deploying and supporting applications.
A degree in Computer Science, Applied Mathematics, Physics, Statistics or area of study related to data sciences, data engineering and data mining or relevant experience.
Are proficient in data application/software architecture (Definition, Business Process Modelling, etc.).
Advanced working SQL & Python knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
Experience building and optimising ‘big data’ data pipelines, architectures and data sets.
Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
Previous experience in operations of a big data ecosystem.
Experience with operational aspects of platforms such as monitoring and alerts management, availability, capacity management and service management.
The ability to build processes supporting data transformation, data structures, metadata, dependency and workload management.
A successful history of manipulating, processing and extracting value from large disconnected datasets.
Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
Strong project management and organizational skills.
Experience supporting and working with cross-functional teams and mentoring/leading teams.
Experience working with Fintech data (advantageous).
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