Date Engineer - AI Chatbots | Azure
Dubai, United Arab Emirates
Fractal
Fractal is a strategic analytics partner to global Fortune 500 companies & powers every human decision in the enterprise with AI, engineering & design.It's fun to work in a company where people truly BELIEVE in what they are doing!
We're committed to bringing passion and customer focus to the business.
Data Engineer | AI Chatbots
About Fractal :
What makes Fractal a GREAT fit for you? When you join Fractal, you'll be part of a fast-growing team that helps our clients leverage AI together with the power of behavioral sciences to make better decisions. We're a strategic analytics partner to most admired fortune 500 companies globally, we help them power every human decision in the enterprise by bringing analytics, AI and behavioural science to the decision. Fractal is one of the most prominent players in the Artificial Intelligence space. Fractal’s mission is to power every human decision in the enterprise and uses the power of AI to help the world’s most admired Fortune 500 companies
About project:
We're seeking a talented and passionate Data Engineer to join our In this role, you'll leverage your expertise in data pipelines, Azure cloud and data management to ensure our chatbot has the data it needs to learn, adapt, and deliver exceptional user experiences.
What You'll Do:
- Design, develop, and maintain data pipelines for ingesting structured and unstructured data required for AI chatbot development and functionality.
- Work with stakeholders to identify and source data from various sources (internal systems, external APIs).
- Clean, pre-process, and transform data to enable chatbot functionality.
- Develop and implement data quality checks and monitoring pipelines to ensure data integrity.
- Collaborate with Cloud and Digital teams, Gen AI Engineers, Project Managers and Business stakeholders to understand AI-based chatbot data requirements.
- Utilize Azure cloud platform for data storage, processing and analytics.
- Document data pipelines and processes for maintainability and knowledge sharing.
You're a Perfect Fit If You Have:
- A Master's degree in Computer Science, Information Systems, or a related engineering field.
- 5+ years of experience as a Data Engineer or similar role.
- Strong experience in developing and managing data pipelines for large-scale data processing enabling AI development.
- Experience with data modeling techniques and NoSQL DB (Cosmos DB for MongoDB, MongoDB, etc,).
- Familiarity with Large Language Models (LLMs) and their training data requirements.
- Proficiency in programming languages like Python, SQL and Spark.
- Experience working with Azure Cloud for data storage and processing (Databricks, ADF, Azure Functions, etc.).
- Experience working with Developer tools such as Azure DevOps, PyCharm/VS Code, etc.
- Solid understanding of data quality principles and best practices.
- Experience with DevOps tools and methodologies (e.g., Git, CI/CD).
- Experience working with structured and unstructured data processing methods.
- Excellent communication and collaboration skills to work effectively with cross-functional teams.
Nice-to-Have Skills:
- Experience working on AI-based chatbots or conversational AI systems data requirements and pipelines.
- Familiarity with Large Language Models (LLMs) and their data requirements.
- Experience with data governance frameworks and data security best practices.
- Experience with containerization technologies (e.g., Docker, Kubernetes) and serverless architectures.
- Knowledge on Data Security, Data Access Management including Data Encryption.
- Experience with RESTful APIs, message brokers, and event-driven architectures.
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs Architecture Azure Chatbots CI/CD Computer Science Conversational AI Cosmos DB Databricks Data governance Data management Data pipelines Data quality DevOps Docker Engineering Generative AI Git Kubernetes LLMs MongoDB NoSQL Pipelines Python Security Spark SQL Unstructured data
Perks/benefits: Career development
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