The Role
Designs and develops end-to-end batch and streaming data pipelines, including ingestion, transformation, consumption, data modeling, ETL/ELT, performance optimization, testing, quality, lineage, and governance. The role uses AI coding tools such as Copilot, Claude, and Gemini, integrates complex workflows on GCP, establishes engineering best practices, mentors junior engineers, and supports scalable production data environments.
Summary Generated by Built In
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
Skills Required
- 4+ years of experience in data engineering
- Experience developing end-to-end batch and streaming data pipelines
- Expertise in dimensional, Data Vault, and OBT data modeling
- Experience with ETL/ELT design patterns, performance tuning, and optimization
- Advanced SQL skills
- Advanced Python skills
- Experience with Apache Spark for large-scale data processing
- Proficiency with AI coding tools such as GitHub Copilot, Claude, or Gemini
- Understanding of data quality frameworks, unit testing, and CI/CD for data workflows
- Experience with Google Cloud Platform services including BigQuery, Dataflow, Cloud Composer, Pub/Sub, Dataproc, and Vertex AI
- Exposure to finance or sales data domains
- Familiarity with Databricks, Delta Lake, or Apache Iceberg
- GCP Professional Data Engineer certification
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The Company
What We Do
AuxoAI partners with enterprise leaders to build AI systems, enabling the creation of AI-first enterprises by moving from AI strategy to production-grade deployed systems in weeks.
