Data Engineer at Analytics Intelligence [AI]

Analytics Intelligence [AI] combines human data scientists and artificial intelligence technologies to help clients improve data analysis, enhance decision making, and optimize digital services. Our solutions are developed specifically to address the growing Data Analytics staffing resource shortage faced by most businesses today. By deploying our data-driven AI Agents or Chatbot solutions clients can enhance the reach and support of their data and analytics teams. Powered by the AI Platform, our agents or chatbots are programmed to assist users with data retrieval and insight distribution across the organization. They are deployed as members of a team and can communicate via email, chat (Skype, Slack), or speech, like their human counterparts.

Job Description:

• We are seeking a skilled and motivated Data Engineer with a strong background in Python and data science.
• The ideal candidate will be responsible for developing, constructing, testing, and maintaining architectures such as databases and large-scale processing systems.

Key Responsibilities:

• Design, develop, and maintain scalable data pipelines and data processing systems to collect, integrate, and analyze large volumes of data.
• Collaborate with data scientists to understand and implement their requirements and algorithms.
• Develop and maintain ETL processes for data integration, transformation, and cleaning.
• Build and manage complex data models and structures for analytics and reporting purposes.
• Optimize and fine-tune data systems and architectures for performance and efficiency.
• Work closely with cross-functional teams to ensure data solutions align with business objectives and requirements.
• Conduct research and evaluation of new technologies and tools to improve data processing and analysis.

Requirements:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Proven professional experience as a Data Engineer or in a similar role.
• Proficiency in Python and its libraries for data manipulation, analysis, and visualization (e.g., Pandas, NumPy, Matplotlib, etc.).
• Strong experience in data modelling, database design, and implementation (SQL and NoSQL databases).
• Solid understanding of data processing frameworks and distributed computing (e.g., Hadoop, Spark, etc.).
• Familiarity with machine learning concepts and frameworks is a plus.
• Excellent problem-solving skills and the ability to work independently and collaboratively within a team.
• Strong communication skills to articulate complex technical concepts to both technical and non-technical stakeholders.

Method of Application