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), complex data workflows, and scalable data solutions.
Domain
Data Engineering, Generative AI, Cloud Infrastructure
Deliverable
production ML models | product features | infrastructure
Required skills
End-to-end pipeline development, Data modeling (dimensional, Data Vault, OBT), ETL/ELT design, SQL, Python, Apache Spark, AI-assisted coding tools, Data quality frameworks, CI/CD, Google Cloud Platform services (BigQuery, Dataflow, Cloud Composer, Pub/Sub, Dataproc, Vertex AI), Databricks, Delta Lake, Apache Iceberg
Preferred skills
GCP Professional Data Engineer certification, Finance or sales data domain experience
Technologies
GitHub Copilot, Claude, Gemini, BigQuery, Dataflow, Cloud Composer, Pub/Sub, Dataproc, Vertex AI, Databricks, Delta Lake, Apache Iceberg
Responsibilities
Architect and develop end-to-end data pipelines from ingestion to consumption, Lead solutioning and integration for complex data workflows, Use AI-assisted coding tools to accelerate code development and debugging, Implement robust data quality, testing, lineage, and governance frameworks, Drive best practices across pipeline performance and scalability, Mentor junior engineers
Seniority
Senior, hands-on IC
