Data Engineer

at  iKhokha

Company Description
iKhokha is a place where chance takers become change makers. At iKhokha, we believe in better. As you’d expect, our pace is fast-moving and ever-changing. We like it that way. As one of the fastest growing Fintech’s in Africa we’ve built a team of global change-makers who want to make an impact. If you believe in a better future, be a chance-taker and help us empower small businesses in South Africa.
Job Description
Are you ready to engineer the future of data?
Join the iKTribe as a Data Engineer, revolutionizing FinTech by building dynamic pipelines, optimizing infrastructure, and driving the future of financial innovation through data.

QUALIFICATIONS

• BSc Computer Science / BCom / IT related Degree.
• Data engineering industry related certifications

SO, WHAT WILL YOU DO?

• You will enable data-driven decision-making by providing the necessary infrastructure and tools for collecting, organizing, and processing and storing large volumes of data.
• You will work closely with data scientists, analysts, and other stakeholders to understand their data requirements and implement solutions that support the organization’s data needs.

3-5 YEARS’ EXPERIENCE IN A DATA ENGINEER ROLE WITH THE FOLLOWING:

• Must have experience working directly with data teams (Including BI analysts, Data Analysts, Data Scientists and Business Analysts) and good exposure to various business functions.
• Solid experience and excellent understanding of database’s, ETL, SQL, data modelling (Kimball), Data integration and API’s.
• Solid experience working in cloud platforms like Snowflake or Azure or AWS.
• Good experience in developing in Python.
• Good quality assurance experience in testing specifications and data integrity whereby data quality and governance must be at the top of the agenda.
• Has worked previously in a data warehouse environment.

IN ADDITION TO THE ABOVE, EXPERIENCE IN THE FOLLOWING WILL MAKE YOU A FRONTRUNNER FOR THE ROLE:

• Previous industry experience in financial services and / or data engineering (analytics environment would be an advantage).
• Good understanding and knowledge of the data engineering and analytics landscape.
• Good understanding, participation and active engagement in defined internal processes such as how SLDC works in a data driven environment.
• General knowledge, understanding and exposure of data management principles such as the DMBOK framework would be advantageous.
• A good understanding of how various functional areas within a business work such as Sales, Marketing, Finance, HR, Logistics, and Operations.
• A good understanding of how card transactions and the online payment industry works.
• A very good understanding of the data and product management domain.
• Knowledge of Agile Scrum development principles and methodologies such as Scrum or Kanban.
• Attention to detail and quality.
  Additional Information