Key Responsibilities:
● Collaborate with cross-functional teams to identify and prioritize quick win opportunities for
data-driven insights and improvements.
● Design, develop, and maintain ETL processes to extract, transform, and load data from
various sources into our data infrastructure.
● Implement and optimize genAI LLM models to enhance data analysis and predictive
capabilities.
● Ensure data quality and integrity by implementing data validation and cleansing processes.
● Develop and maintain data pipelines to support real-time and batch data processing.
● Collaborate with Data Scientists and Machine Learning Engineers to deploy and
operationalize AI models.
● Monitor and troubleshoot data pipelines and resolve any issues or bottlenecks.
● Develop solutions to automate processes using power of AI & data.
● Stay up-to-date with the latest trends and advancements in data engineering, AI, and
machine learning technologies

Qualifications
● University degree in Computer Science, Data Science, or a related field.
● Experience as a Data Engineer or similar role, working on data transformation and
AI-related projects.
● Strong programming skills in Python for data manipulation, analysis, and automation.
● Strong business acumen
● Familiarity with genAI LLM models and their implementation.
● Solid understanding of data warehousing concepts and data modeling.
● Strong problem-solving and analytical skills.
● Excellent communication and collaboration skills to work effectively with cross-functional
teams.
● You are comfortable with high level of ambiguity and possess a continuous improvement
mindset
● You enjoy quantitative analysis and have a reputation for being a problem-solver and
creative thinker
● You have the ability to maintain high workloads, including the management of competing
priorities and multiple projects at once
● You have experience in successfully launching new products
● Any experience in UI/Web page/Bot development would be nice to have.