AuxoAI is seeking a Senior GenAI Data Engineer with solid 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 team-oriented, cross-functional role — ideal for someone who thrives at the intersection of data engineering excellence and GenAI-powered innovation.

Location : Bangalore, Hyderabad, Mumbai, and Gurgaon

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

Requirements
6+ years of experience in data engineering, with expertise in:
End-to-end pipeline development (batch and streaming)
Data modeling (dimensional, Data Vault, OBT)
ETL/ELT design patterns, performance tuning, and optimization
SQL (Advanced) and Python (Advanced)
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

Preferred Qualifications:
Experience with Google Cloud Platform services:
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 Qualified Data Engineer certification is a plus

What We Offer

📌 Senior Data Engineer Bengaluru
🏢 AuxoAI Engineering
📍 Bengaluru