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about the company
The company is at a pivotal juncture. They successfully consolidated data from various disparate systems into a central AWS Redshift Data Lake. Now, we are bringing everything in-house, scaling down our reliance on external vendors, and building the future of our financial analytics and AI research platform.
about the job
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).
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