Auxo is looking for a Senior Data Engineer – GCP Native Platform to design, build, and operate scalable, production-grade data platforms for our enterprise clients.

This is a hands-on delivery role, not a support function. You will own end-to-end data pipeline engineering on Google Cloud Platform, embedding best-in-class data engineering practices across batch and streaming workloads, while working closely with architects, analysts, and data scientists.

Location : Bangalore, Hyderabad, Mumbai, and Gurgaon

Responsibilities
Design, build, and optimize scalable batch and streaming data pipelines using Dataflow (Apache Beam)
Develop and manage workflow orchestration using Airflow on Cloud Composer
Implement ELT transformations using Dataform for SQL-based data modeling and transformations
Design and maintain BigQuery datasets following layered / medallion architecture patterns
Implement event-driven ingestion and CDC patterns using Pub/Sub
Partner with architects to implement technical designs, standards, and platform best practices
Ensure performance optimization,



reliability, monitoring, and cost efficiency of data pipelines
Implement data quality checks, validations, and monitoring within pipelines
Support production deployments, incident resolution, and operational stability
Mentor junior engineers and contribute to engineering excellence across the team

Requirements
Required Skills & Experience

Data Engineering (Solid Hands-on Experience)
Design and development of production-grade data pipelines
Batch and streaming data processing architectures
Workflow orchestration and dependency management
Data modeling, schema design, and performance optimization
Pipeline monitoring, troubleshooting, and cost optimization

GCP Data Platform
Hands-on experience with BigQuery (advanced SQL, partitioning, clustering, optimization)
Robust experience with Dataflow / Apache Beam (Python or Java)
Experience with Cloud Composer / Airflow
Expe

📌 Senior Data Engineer Bengaluru
🏢 AuxoAI Engineering
📍 Bengaluru