GCP Data Engineer

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

Requirements
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
GCP Data Platform
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
Technical Foundation
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

Preferred Qualifications
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