Data Engineer

Posted 3 months agoViewed

📍 Location: Kenya, EMEA, GMT, GMT+3

🔍 Industry: Emergency response technology

🏢 Company: Flare👥 101-250💰 $15,516,604 Series C over 4 years agoEmployment Human Resources Financial Services SaaS Employee Benefits Information Technology FinTech Software

🗣️ Languages: English

🪄 Skills: AWSNode.jsPythonSQLData AnalysisDjangoFlaskJavascriptMachine LearningPyTorchSnowflakeData engineeringTensorflowRESTful APIsData visualization

Requirements:

Proficient in SQL, AWS Athena, Quicksight, and other data visualization/analytics platforms.
Experience with modern data engines and tools (e.g., Snowflake, Redshift, BigQuery, or similar).
Strong programming skills in Python, JavaScript, R, and other languages.
Experience with backend technologies such as Node.js, Flask, or Django.
Ability to create and manage RESTful APIs for data systems.
Proven ability to create visually compelling and insightful dashboards and UIs.
Strong sense of design and user experience in data presentation.
Solid understanding of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
Experience deploying and managing AI models in production environments.
Strong analytical and critical-thinking skills to solve complex data challenges.
Collaborative mindset and excellent communication and leadership abilities.
Strong problem-solving skills.
Ability to work in an agile development environment.

Responsibilities:

Design, build, and optimize data pipelines and data models for robust, scalable analytics.
Work with large datasets to extract meaningful insights and support data-driven decision-making.
Develop, deploy, and manage advanced and secure data systems using SQL, various AWS data pipelines & platforms, and other tools.
Integrate AI/ML capabilities into data pipelines and analytics platforms.
Prototype and implement machine learning models that solve real-world business problems.
Build and maintain data dashboards, reports, and visualizations using AWS Quicksight or similar tools.
Design and develop user-friendly, interactive UIs for presenting complex datasets and models.
Collaborate with stakeholders to ensure dashboards and tools meet business needs.
Design and implement secure end-to-end solutions that integrate backend data systems with front-end applications or data displays.
Develop and deploy interfaces for advanced data visualization and interaction.
Work closely with cross-functional teams to align on project goals and deliverables.
Solve complex technical challenges related to data accuracy, integration, performance, and scalability.
Advocate for best practices in data governance, security, and architecture.

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