Lead AI Data Engineer

Title: Lead AI Data Engineer

Education
• Bachelor’s degree in computer science or a related field.

Minimum Experience

• Minimum 5 years of experience in building data driven solutions.
•  At least 3 years of experience working with AWS services.
• Applicants must be authorized to work in the US without requiring employer sponsorship currently or in the future. U.S. FinTech does not offer H-1B sponsorship for this position.

Specialized Knowledge & Skills

• Expertise in real-time data solutions, good-to-have knowledge of streams processing, Message Oriented Platforms and ETL/ELT Tools.
• Strong scripting experience using Python and SQL.
• Working knowledge of foundational AWS compute, storage, networking and IAM.
• Understanding of Gen AI models, prompt engineering, RAG, fine tuning and pre-tuning will be a plus.
• Solid scripting experience in AWS using Lambda functions.
• Knowledge of CloudFormation template preferred.
• Hands-on experience with popular cloud-based data warehouse platforms such as Redshift and Snowflake.
• Experience in building data pipelines with related understanding of data ingestion, transformation of structured, semi-structured and unstructured data across cloud services.
• Knowledge and understanding of data standards and principles to drive best practices around data management activities and solutions.
• Experience with one or more data integration tools such as Attunity (Qlik), AWS Glue ETL, Talend, Kafka etc.
• Strong understanding of data security – authorization, authentication, encryption, and network security.
• Hands on experience in using and extending machine learning framework and libraries, e.g, scikit-learn, PyTorch, TensorFlow, XGBoost etc. preferred.
• Experience with AWS SageMaker family of services or similar tools to develop machine learning models preferred.