Posted on: 09/09/2026
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
Requirements :
- 4+ years of experience in data engineering, with expertise in :
1. End-to-end pipeline development (batch and streaming)
2. Data modeling (dimensional, Data Vault, OBT)
3. ETL/ELT design patterns, performance tuning, and optimization
4. SQL (Advanced) and Python (Advanced)
5. 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
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Posted in
Data Engineering
Functional Area
Data Engineering
Job Code
1669911