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Data Engineer-GenAI

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Onsite

Data Engineer-GenAI

Auxo AI

Data Engineer-GenAI

Skills

Google Cloud PlatformSQL QueriesData EngineeringPythonGoogle BigQueryDatabricksAIGitHub

1 month ago

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Important information


Contract type:

Permanent

Salary:

₹1,500,000 – ₹4,500,000 / year

Location:

Gurugram, Haryana, India

Work mode:

Onsite

Published on:

11 September 2026

What they need


Experience: 4+ Years Location: India (Bangalore, Hyderabad/ Mumbai/ Gurugram) 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: 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:- Data engineering, Python, Apache Spark and Generative AI

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