
Senior Data Engineer - GenAI
AuxoAI · Bangalore North, Karnataka, India
Mixed hiring record · median 51 days open
All reasons
- Open 210 days
- 47% of this employer's openings are over 60 days old
In its favour
- Still listed on the employer's own board
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.
Location
Bangalore, Hyderabad, Mumbai, and Gurgaon
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
- 6+ 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
Preferred Qualifications
- 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
What We Offer
- Opportunity to work on modern data platforms with GenAI integration
- Access to professional development support and cloud certification sponsorship
- Competitive compensation and flexible work arrangements
- A fast-paced, high-impact environment where innovation is valued
Skills
- Generative AI
- GitHub Copilot
- Anthropic Claude
- Gemini
- HashiCorp Vault
- ETL
- ELT
- SQL
- Python
- Spark
- GCP
- BigQuery
- Dataflow
- Cloud Composer
- Pub/Sub
- Dataproc
- Vertex AI
- Databricks
- Delta Lake
- Apache Iceberg
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