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AuxoAI Engineering Pvt. Ltd.

Data Engineer-GenAI

AuxoAI Engineering Pvt. Ltd. Hyderabad, Telangana, India

Software Development · 201-500 employees

13 h ago
data-engineer Senior (5-10 yrs) Full-time India
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About the role

Architect and develop end-to-end data pipelines while leveraging AI-assisted coding tools to accelerate development and debugging. Lead complex data workflow integrations and define engineering best practices for performance, scalability, and data governance.

What they look for

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

Requirements

Requires 4+ years of experience in data engineering with advanced proficiency in Python, SQL, and Apache Spark. Candidates should have expertise in GCP services and experience with data modeling, ETL/ELT patterns, and AI-assisted coding tools.

Full 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:

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

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