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Senior Data Engineer - GCP

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Job Description - 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.

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


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