Data Engineer-GenAI

AuxoAI; Bengaluru; On-site; INR 4,200,000 - 7,000,000; Full time

Job summary

AuxoAI in India is seeking a Senior GenAI Data Engineer to design and build production-grade data pipelines, from ingestion to consumption, leveraging GenAI tools to boost productivity.

You will mentor engineers, define best practices for batch and streaming workloads, and work across data modeling and cloud services (BigQuery, Dataflow, Pub/Sub, Vertex AI) to enable scalable analytics.

Qualifications

• 4+ years of experience in data engineering.
• Strong SQL and Python skills.
• Experience with batch and streaming pipelines.

Responsibilities

• Architect end-to-end data pipelines from ingestion to consumption.
• Lead complex batch and streaming data workflows.
• Use AI-assisted coding tools to accelerate development.
• Implement data quality, testing, lineage, and governance.
• Drive scalability and performance improvements.
• Mentor junior engineers and build data capability.

Skills

Data pipelines

SQL

Python

Spark

Data modeling

CI/CD for data

Tools

BigQuery

Dataflow

Pub/Sub

Vertex AI

Dataproc

Delta Lake

Databricks

Apache Iceberg

Job description

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:
• 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
• 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