Data Engineer-GenAI
AuxoAI Engineering Pvt. Ltd.
- Location
- Onsite (Bangalore South, Karnataka)
- Employment
- Full-time
- Level
- Senior Level
Posted 2 days ago
About the Role
AuxoAI is an enterprise AI consultancy focused on deploying Agentic AI systems to drive innovation. This role involves architecting production-grade data pipelines and leveraging GenAI tools to enhance development productivity and engineering best practices.
Skills
Data Engineering
GenAI
Python
SQL
Apache Spark
Google Cloud Platform
BigQuery
Dataflow
Cloud Composer
Vertex AI
Data Modeling
ETL/ELT
CI/CD
GitHub Copilot
Databricks
Apache Iceberg
Full job details
Role: Data Engineer-GenAI
Location: India (Bangalore, Hyderabad/ Mumbai/ Gurugram)
Experience: 4+ Years
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