Tiger Analytics
AI & Analytics for today’s business challenges.
GenAI Data Engineer
Location
Connecticut
Posted
45 days ago
Salary
Not specified
EnglishBig QueryCloudETLGoogle Cloud PlatformPythonSQL
Job Description
• Responsible for designing, building, and maintaining data pipelines, data integration processes, and data infrastructure.
• Collaborate closely with data scientists, analysts, and other stakeholders to ensure efficient data flow and support data-driven decision making across the organization.
Job Requirements
- Design and implement robust data pipelines that ingest, process, and store unstructured data formats at scale within **Snowflake** and **GCP**.
- Leverage Snowflake’s unstructured data capabilities (Directory Tables, Scoped URLs, Snowpark) to make "dark data" queryable and actionable.
- Build and maintain cloud-native ETL/ELT processes using BigQuery, Cloud Storage, and Dataflow, ensuring seamless integration between GCP and Snowflake.
- Instead of just using LLMs, you will integrate AI tools (OCR, NLP entities, Document AI) into the engineering flow to transform unstructured blobs into structured insights.
- Tune complex SQL queries and Python-based processing jobs to handle petabyte-scale environments efficiently.
Benefits
- Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, challenging, and entrepreneurial environment, with a high degree of individual responsibility.
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