senior ai data engineer (data lake & genai platform).

• Take full ownership of our AWS-based data lake (Redshift, AWS Glue), focusing on data mobilization, cleansing, and robust pipeline optimization before feeding downstream financial systems.
• Lead the infrastructure setup for our next-gen AI capabilities. Spearhead the integration of AWS SageMaker (and related tools) and install/plug in local LLMs to ensure absolute data confidentiality and prevent data leakage.
• Create the foundational data grounding mechanisms to eliminate AI hallucination. Work will directly power real-time AI Advisors and Research Bots for our remisier.
• Develop and maintain live streaming pipelines for marketing data and proprietary stock prices.
• Learn our current setup fast, drive existing vendors to deliver, and systematically phase out vendors that aren't adding value.

skills and experience required
Minimum 5+ years of hands-on data engineering experience. Deep expertise in the AWS ecosystem, specifically AWS Glue, Redshift, S3, and Lambda.

Solid understanding of data lake concepts, data cleansing, and building highly reliable ETL/ELT pipelines.

Proven experience building and maintaining Flask APIs to connect enterprise data with applications.

Hands-on experience with AWS SageMaker and orchestrating Retrieval-Augmented Generation (RAG) architectures.

What’s an offer
You will have massive autonomy to take over, modernize, and enhance our AWS infrastructure. Senior AI Data Engineer (Data Lake & GenAI platform) won't just be maintaining code; you will be driving architectural decisions from deploying secure local LLMs to building real-time marketing and proprietary stock price streaming feeds.

To apply online please use the 'apply' function, alternatively you can reach me athttps://www.linkedin.com/in/Oliviatoh-032330132/. (EA: 94C3609 / R22109942).