Data Engineer- GenAI
Core
Design and develop production-grade data pipelines and end-to-end solutions leveraging GenAI tools to enhance engineering productivity.
Role type
Senior GenAI Data Engineer
Builds
End-to-end data pipelines (batch and streaming), data workflows, and scalable data environments
Domain
Data Engineering, Generative AI, Cloud Infrastructure
Deliverable
production ML models
Required skills
End-to-end pipeline development, Data modeling, ETL/ELT design, SQL, Python, Apache Spark, AI-assisted coding tools, Data quality frameworks, CI/CD, Google Cloud Platform services, Databricks/Delta Lake/Iceberg
Preferred skills
GCP Professional Data Engineer certification, Finance or sales data domain experience
Technologies
Apache Spark, Google Cloud Platform (BigQuery, Dataflow, Cloud Composer, Pub/Sub, Dataproc, Vertex AI), Databricks, Delta Lake, Apache Iceberg, GitHub Copilot, Claude, Gemini
Responsibilities
Architect and develop end-to-end data pipelines, Lead solutioning and integration for complex data workflows, Use AI-assisted coding tools to accelerate development, Implement robust data quality and governance frameworks, Drive best practices for pipeline performance and scalability, Mentor junior engineers
Seniority
Senior, hands-on IC
