Auxoai
Data Engineer-GenAI
Bangalore South, Karnataka, India
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Tools in this posting
- python
- sql
- bigquery
- databricks
- delta
- iceberg
Source — Tool mentions in context
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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Bangalore South, Karnataka, India
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Posting history
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- Active
- First seen by us
- Sep 8, 2026
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- 1
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Report an errorSkills in this posting
pythonsqlbigquerydatabricksdeltaicebergspark
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: 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