Data Engineer-GenAI

Role Summary: AuxoAI is seeking a Senior GenAI Data Engineer with strong fundamentals in data engineering and end-to-end solution design. In this role, you will design and develop production-grade pipelines, leverage GenAI tools (Copilot, Claude, Gemini) to boost development productivity, and define engineering best practices across complex data environments. This is a highly collaborative, cross-functional role - ideal for someone who thrives at the intersection of data engineering excellence and GenAI-powered innovation.

Responsibilities:

• Architect and develop end-to-end data pipelines - from ingestion to transformation to consumption
• Lead solutioning and integration for complex data workflows (batch and streaming)
• Use AI-assisted coding tools (e.g., GitHub Copilot, Claude, Gemini) to accelerate code development, refactoring, and debugging
• Implement robust data quality, testing, lineage, and governance frameworks
• Drive best practices across pipeline performance, reusability, and scalability
• Mentor junior engineers and contribute to capability building within the data team Requirement:
• 4+ years of experience in data engineering, with expertise in: o End-to-end pipeline development (batch and streaming) o Data modeling (dimensional, Data Vault, OBT) o ETL/ELT design patterns, performance tuning, and optimization o SQL (Advanced) and Python (Advanced) o Apache Spark for large-scale data processing
• Proficiency using AI coding tools (e.g., Copilot, Claude, Gemini) to enhance productivity and code quality
• Strong understanding of data quality frameworks, unit testing, and CI/CD for data workflows
• Experience with Google Cloud Platform services: o BigQuery, Dataflow, Cloud Composer, Pub/Sub, Dataproc, Vertex AI
• Exposure to finance or sales data domains
• Familiarity with Databricks, Delta Lake, or Apache Iceberg

• GCP Professional Data Engineer certification is a plus