Senior Data Engineer - GCP

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