Data Engineer-GenAI

AuxoAI Engineering; Bengaluru South; On-site; INR 2,500,000 - 4,200,000; Full time

Job summary

AuxoAI Engineering Pvt. Ltd. in Bengaluru South, India, is seeking a Senior GenAI Data Engineer to design and develop production-grade pipelines and leverage GenAI tools to boost productivity.

You will lead end-to-end data workflows, drive best practices across data environments, and mentor junior engineers within a cross-functional team.

Qualifications

• 4+ years of data engineering experience with end-to-end pipelines.
• Proficient in SQL (Advanced) and Python (Advanced).
• Experience with AI-assisted coding tools (Copilot, Claude, Gemini).
• Strong data quality, testing, lineage, and CI/CD for data worklows.
• Hands-on with GCP services: BigQuery, Dataflow, Pub/Sub, Dataproc, Vertex AI.
• Familiarity with Databricks, Delta Lake, or Apache Iceberg; finance or sales data exposure is a plus.
• GCP Professional Data Engineer certification is a plus.

Responsibilities

• Architect and develop end-to-end data pipelines from ingestion to consumption.
• Lead solutioning for complex batch and streaming data workflows.
• Leverage AI coding tools to accelerate code development and debugging.
• Implement data quality, testing, lineage, and governance frameworks.
• Drive best practices for pipeline performance, reusability, and scalability.
• Mentor junior engineers and contribute to capability building within the data team.

Skills

End-to-end pipelines

ETL/ELT design

SQL Advanced

Python Advanced

AI coding tools

CI/CD for data workflows

Data quality frameworks

GCP BigQuery

Dataflow

Databricks/Delta Lake

Tools

Google Cloud Platform (GCP)

BigQuery

Dataflow

Pub/Sub

Dataproc

Vertex AI

Databricks

Delta Lake

Apache Iceberg

Job description

AuxoAI Engineering Pvt. Ltd. | Full time

Bangalore South, India | Posted on 09/08/2026

Experience: 4+ Years

Role Summary:

AuxoAI is seeking a Senior GenAI Data Engineer with strong fundamentals in data engineering and end-to-endsolution 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 dataenvironments.This is a highly collaborative, cross-functional role — ideal for someone who thrives at the intersection of dataengineering 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:
  • End-to-end pipeline development (batch and streaming)
  • ETL/ELT design patterns, performance tuning, and optimization
  • SQL (Advanced) and Python (Advanced)
• Proficiency using AI coding tools (e.g., Copilot, Claude, Gemini) to enhance productivity and codequality
• Strong understanding of data quality frameworks, unit testing, and CI/CD for data workflows
• 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 Professional Data Engineer certification is a plus