Auxo AI - Data Engineer - Google Cloud Platform

Overview

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
  
  

Required Skills & Experience :

• Data Engineering (Strong 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
  
  

• Hands-on experience with BigQuery (advanced SQL, partitioning, clustering, optimization)
• Strong experience with Dataflow / Apache Beam (Python or Java)
• Experience with Cloud Composer / Airflow
• Experience with Pub/Sub and Cloud Storage
  
  

• Strong proficiency in SQL and Python (Java is a plus)
• Solid understanding of ETL/ELT patterns and modern data stack concepts
• Experience with Git-based version control and CI/CD pipelines
• Working knowledge of cloud monitoring and logging
  
  

• Experience with GCP Professional Data Engineer certification
• Exposure to Dataform or dbt for transformation workflows
• Experience with real-time streaming architectures
• Familiarity with Vertex AI, Cloud Functions, or Dataproc
• Understanding of data governance concepts and platforms (Dataplex, Atlan, Collibra)
• Experience with legacy-to-cloud data migrations
• Familiarity with Looker or Power BI
  
  

(ref:hirist.tech)