GenAI Data Engineer
Tiger Analytics Inc.6 months ago
Remote, United States +2 moreSenior
Responsibilities
- Design and implement robust pipelines to ingest, process, and store unstructured data at scale in Snowflake and GCP.
- Use Snowflake Directory Tables, Scoped URLs, and Snowpark to make unstructured “dark data” queryable and actionable.
- Build and maintain cloud-native ETL/ELT processes with BigQuery, Cloud Storage, and Dataflow across GCP and Snowflake.
- Integrate OCR, NLP entities, and Document AI into engineering workflows to transform unstructured data into structured insights.
- Tune complex SQL queries and Python-based processing jobs for petabyte-scale environments.
- Collaborate with data scientists, analysts, and stakeholders to support efficient data flow and data-driven decision-making.
Requirements
- Experienced data engineering background with expertise in Dataiku.
- Experience designing and maintaining data pipelines, data integration processes, and data infrastructure.
- Expertise with Snowflake and GCP for large-scale unstructured data processing.
- Experience with BigQuery, Cloud Storage, Dataflow, SQL, and Python.
- Experience integrating OCR, NLP, or Document AI tools into data workflows.
Benefits
- Remote full-time position.
- Significant career development opportunities as the company grows.
- Opportunity to work in a small, challenging, and entrepreneurial environment with a high degree of individual responsibility.
Tech Stack
Categories
Data Engineering
About Tiger Analytics Inc.
Tiger Analytics Inc. provides data and AI consulting services that deliver machine learning, analytics, and cloud data engineering solutions for large enterprises across industries, including life sciences. The company engages on strategy and implementation projects, from modern BI and data platforms to MLOps, helping Fortune 100 clients turn data into business outcomes. Founded in 2011 and headquartered in Santa Clara, it is privately held with operations across North America, Europe, and Asia-Pacific.