Required Qualifications:

A minimum of 5 years of hands-on experience with AWS cloud technologies and data
engineering.
Strong expertise in AWS data services such as S3, Glue, Redshift, Athena, Lambda, and Kinesis.
Proficient in Python, SQL, and distributed data processing frameworks (e.g., PySpark).
Experience integrating LLMs via APIs (e.g., OpenAI, AWS Bedrock, etc.).
Experience with CI/CD pipelines, Infrastructure as Code (IaC), and version control (e.g., Terraform).
Understanding of data privacy, security, and compliance in AI systems.
Excellent problem-solving skills, communication, and collaboration abilities.
Familiarity with AI-related technologies, such as the foundational LLM's and associated frameworks
and tools such as LangChain, Hugging Face, Bedrock, etc. Familiarity with geospatial data a plus

Senior Data Engineer