iKhokha IT / Telecom Jobs in KwaZulu-Natal
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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.
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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.
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- 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.
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