Data Engineer - GenAI

AuxoAI Inc.; Bengaluru; On-site; INR 1,500,000 - 2,500,000; Full time

Benefits offered by this job

Professional development support

Cloud certification sponsorship

Flexible work arrangements

Competitive compensation

Job summary

A leading data engineering firm in Bangalore is seeking a Senior GenAI Data Engineer to design and develop production-grade data pipelines. The ideal candidate will have over 6 years of experience in data engineering, with strong skills in SQL and Python, and familiarity with AI coding tools. This role offers the opportunity to work on modern data platforms with GenAI integration and provides competitive compensation in a fast-paced, high-impact environment.

Qualifications

• 6+ years of experience in data engineering with expertise in end-to-end pipeline development.
• Strong understanding of SQL and Python at an advanced level.
• Experience with AI coding tools to enhance productivity.

Responsibilities

• Architect and develop end-to-end data pipelines, from ingestion to consumption.
• Lead solutioning and integration for complex data workflows.
• Drive best practices across pipeline performance and scalability.

Skills

Data engineering

End-to-end pipeline development

ETL/ELT design patterns

Advanced SQL

Advanced Python

Proficient in AI coding tools

Data quality frameworks

Tools

Google Cloud Platform

BigQuery

Dataflow

Cloud Composer

Pub/Sub

Dataproc

Vertex AI

Databricks

Delta Lake

Apache Iceberg

Job description

AuxoAI Engineering Pvt. Ltd. | Full time

Bangalore North, India | Posted on 12/16/2025

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

Requirements

6+ 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 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 Professional Data Engineer certification is a plus

What We Offer

Opportunity to work on modern data platforms with GenAI integration

Access to professional development support and cloud certification sponsorship

Competitive compensation and flexible work arrangements

A fast-paced, high-impact environment where innovation is valued