Data Engineer

The iKTribe is on the hunt for a passionate Data Engineer who loves solving complex challenges, building smart solutions and turning data into real business impact.

If Python, SQL, AWS and innovation are your thing, come help us shape the future of fintech!

BSc Computer Science / BCom / IT related Degree.

Relevant certification(s) in Data Engineering or a related field.

Deal Breakers:

Minimum 3-5 years’ experience in a Data Engineering role with the following:

Experience working directly with Data teams (Including Data Analysts, Data Scientists and Product Managers).

A good exposure to various business functions as well as excellent understanding of Database’s, ETL, Python and SQL.

Solid experience working in AWS cloud, data modelling (Kimball), ETL, Data integration and API’s as well as good experience in developing in Python.

Has worked previously in a data warehouse environment as well as knowledge of the Data Engineering landscape.

Good Quality Assurance experience in testing Specifications and Data Integrity.

Good understanding of the data engineering and analytics landscape, how SLDC works in a Data driven environment as well as how various functional areas within a business work: Sales, Marketing, Finance, HR, Logistics, Operations and Product.

In addition to the above, the experience in the following technologies, domains and best practices will make you a frontrunner for the role:

Experience in infrastructure as Code (IaC) would be advantageous and specifically Pulumi.

Previous industry experience in financial services and / or Data Engineering | analytics environment would be an advantage.

Some Understanding and exposure to Data management principles such as general Knowledge of the DMBOK framework would be advantageous.

A good understanding of how card transactions and the online payment industry works as well as data and product management domain.

Data Quality and Governance must be at the top of the agenda as well as attention to detail and quality.

Knowledge of Agile Scrum development principles and methodologies. (Scrum | Kanban).

Participation and active engagement in the defined internal processes. (SDLC).

You’ll enable data-driven decision-making by building and maintaining the infrastructure and tools needed to collect, organise, process and store large volumes of data.

You’ll collaborate with Data Scientists, Data Analysts and key stakeholders to understand their data needs and turn them into effective, scalable solutions. While using your strong technical expertise and passion for all things data.

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.