Data Engineer
uMhlanga, South Africa
Applications have closed
iKhokha
Grow your business with iKhokha-Get no-contract card machines, easy payment solutions, free business tools and funding up to R1 million through iK cash advance!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.
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:
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
Perks of joining the Tribe?
- Work in a high-growth company with tangible results you're accountable for.
- Enjoy hybrid, remote, and in office work models.
- Competitive remuneration and benefits, including Medical Aid and Group Risk scheme contributions.
- Be guided by visionary leadership.
- Seize the opportunity for study leave.
- Access to on-demand learning and development.
- Experience a friendly, collaborative culture with a team of all-round-lekker humans (it’s true, we surveyed our Employees and they told us so).
- If you find yourself at HQ, coffee on tap and a selection of hot beverages provided by our very own onsite Barista.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile APIs AWS Azure Computer Science Data governance Data management Data pipelines Data quality Data warehouse DMBoK Engineering ETL Finance FinTech Kanban Pipelines Privacy Python Scrum Security Snowflake SQL Testing
Perks/benefits: Career development Medical leave Startup environment
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