GenAI Data Engineer
Core
Design, build, and maintain scalable data pipelines and infrastructure to transform unstructured data into structured insights for data-driven decision making.
Role type
Senior Data Engineer (GenAI/Unstructured Data)
Builds
Cloud-native ETL/ELT processes, Snowflake/GCP data pipelines, and AI-integrated data transformation flows
Domain
Cloud Data Engineering, Generative AI, Unstructured Data Processing
Deliverable
production ML models | infrastructure (via careerplan.io/jobs/e81818d2-fe5b-4eaf-b989-d61962f5c6d2-genai-data-engineer-at-tiger-analytics-inc)
Required skills
Snowflake (Directory Tables, Scoped URLs, Snowpark), GCP (BigQuery, Cloud Storage, Dataflow), Python, SQL, OCR, NLP, Document AI
Preferred skills
Petabyte-scale data handling, unstructured data ingestion
Technologies
Snowflake, GCP, BigQuery, Cloud Storage, Dataflow, Dataiku, Python, SQL
Responsibilities
Design and implement robust data pipelines for unstructured data at scale; Leverage Snowflake unstructured data capabilities to make dark data queryable; Build and maintain cloud-native ETL/ELT processes; Integrate AI tools (OCR, NLP, Document AI) into engineering flows; Tune complex SQL queries and Python jobs for petabyte-scale efficiency
