Data Engineer (Enterprise)

Reference: JHB001463-Zaman-1

ESSENTIAL SKILLS

Strong data engineering skills, including Python coding and data ingestion (ETL, Kafka, Apache Spark).

Familiarity with AI/ML frameworks (e.g., Langchain, Langgraph, GAIA) and their integration into solutions.

Proven ability to translate business requirements into well-defined technical specifications.

Excellent communication skills to convey technical concepts to non-technical stakeholders and bridge gaps

between teams.

Experience in defining acceptance criteria and managing scope for technical deliverables.

Proficiency in frontend development (HTML, CSS, JavaScript/TypeScript, Angular/React).

Knowledge of unit testing frameworks (Jest, pytest).

Hands-on experience with AWS services (API Gateway, Lambda, DynamoDB, S3, SQS).

Familiarity with Git and GitHub Actions for version control and CI/CD.

Understanding of UI/UX principles and RESTful APIs/GraphQL.

Adaptability to perform additional tasks under the Agile Working Model (AWM) Charter

Design, develop, and implement advanced statistical, AI, and machine learning models to address complex

business challenges.

Collaborate with cross-functional teams to understand business needs and translate them into technical

solutions.

Engage in continuous learning to stay updated with the latest advancements in AI and machine learning

technologies.

Flexibly take on various tasks within projects, demonstrating adaptability and a proactive approach.

Ensure timely delivery of high-quality work, meeting project deadlines and standards.

Communicate effectively with both technical and non-technical stakeholders, providing clear explanations and

updates on project progress.

Present findings and proposals to stakeholders, showcasing strong presentation skills.

Uphold high ethical standards in all work-related activities and interactions.

Be willing and able to travel internationally as required for project needs.

ADVANTAGEOUS SKILLS

Familiarity with LLM-based applications and their practical applications in business.

Experience with programming languages such as Python, R, or similar.

Knowledge of data visualization tools and techniques.

Previous experience in a similar role within a global organization.

ROLE & RESPONSIBILITIES

Work with stakeholders to gather and translate requirements into actionable technical tasks.

Define project scope and align business and technical teams.

Design data pipelines, propose AI solutions, and support development cycles.

Facilitate collaboration between business, engineering teas, and EDE team.

Develop and maintain high-quality, efficient software/Custom solutions.

Build, deploy, and scale cloud applications using AWS with a focus on performance and security.

Document system designs, APIs, and key technical details.

Resolve operational issues and support new use case onboarding.

Ensure deliverables meet quality standards and project goals.

Take ownership and deliver impactful, meaningful solutions.

QUALIFICATIONS/EXPERIENCE

Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.

Proven experience in building and deploying statistical, AI, and machine learning models.

Strong problem-solving capabilities and a passion for tackling complex challenges.

Excellent interpersonal and organizational skills, with the ability to work effectively in a team-oriented

environment.

Ability to work interdependently, ensuring deliverables are submitted on time and with exceptional quality.

Experience working within a multi-national organizational structure, collaborating with colleagues from diverse

backgrounds.

Strong understanding of business needs and the ability to move concepts from ideation to successful

implementation.

Exceptional verbal and written communication skills, with the ability to engage with a variety of audiences.

Above-board work ethics and a commitment to maintaining integrity in all professional interactions.

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