Data Engineer at iKhokha

Job Description

• Do you enjoy building reliable data systems and collaborating with teams to turn information into actionable insights?
• Our iKTribe is looking for a Data Engineer to design, maintain, and optimise the pipelines and tools that keep our data flowing smoothly across the business.

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.

In addition to the above, you will: 

• Design, develop, and maintain data pipelines, ensuring efficient and reliable data processing, transformation, and storage.
• Integrate data from various sources, both internal and external, ensuring data quality and integrity.
• Optimise data infrastructure and pipelines for scalability, performance, and cost-effectiveness.
• Collaborate with data scientists and analysts to understand their data requirements and assist in the design and implementation of data models and structures.
• Collaborate with cross-functional teams to define data requirements, develop data solutions, and support data-driven decision-making.
• Stay updated with industry trends and emerging technologies in data engineering, and recommend innovative solutions to enhance our data infrastructure and processes.
• Document and maintain technical specifications, system configurations, and data flow diagrams.
• Implement and monitor data governance and security measures to ensure data privacy and compliance with relevant regulations.
• Troubleshoot and resolve issues related to data processing, pipeline performance, and data quality.

Qualifications

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

Deal Breakers: 

• A minimum of 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.