Auxo AI
Data Engineer-GenAI
Skills
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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