Senior Data Engineer - GCP

AuxoAI is seeking aSenior Data Engineerto lead the design, development, and optimization of modern data pipelines and cloud-native platforms usingGoogle Cloud Platform (GCP). This role is ideal for someone with deep experience building scalable batch and streaming data workflows, strong hands-on engineering skills, and a drive to mentor junior engineers.

You'll work closely with cross-functional teams to build production-grade pipelines using tools likeBigQuery, Dataflow, Pub/Sub, Cloud Composer, andDataform, enabling high-quality data delivery and analytics at scale.

Responsibilities:

• Build and optimizebatch and streaming data pipelinesusingApache Beam (Dataflow)
• Design and maintainBigQuery datasetsusing best practices in partitioning, clustering, and materialized views
• Develop and manageAirflow DAGsinCloud Composerfor workflow orchestration
• Implement SQL-based transformations usingDataform(or dbt)
• LeveragePub/Subfor event-driven ingestion andCloud Storagefor raw/lake layer data architecture
• Drive engineering best practices across CI/CD, testing, monitoring, and pipeline observability
• Partner with solution architects and product teams to translate data requirements into technical designs
• Mentor junior data engineers and support knowledge-sharing across the team
• Contribute to documentation, code reviews, sprint planning, and agile ceremonies

Requirements:

• 5+ years of hands-on experience indata engineering, with at least 2 years onGCP
• Proven expertise inBigQuery,Dataflow (Apache Beam),Cloud Composer (Airflow)
• Strong programming skills inPythonand/orJava
• Experience withSQL optimization,data modeling, andpipeline orchestration
• Familiarity withGit,CI/CD pipelines, and data quality monitoring frameworks
• Exposure toDataform,dbt, or similar tools for ELT workflows
• Solid understanding ofdata architecture,schema design, and performance tuning
• Excellent problem-solving and collaboration skills

Bonus Skills:

• GCP Professional Data Engineer certification
• Experience withVertex AI,Cloud Functions,Dataproc, orreal-time streaming architectures
• Familiarity withdata governance tools(e.g., Atlan, Collibra, Dataplex)
• Exposure toDocker/Kubernetes,API integration, andinfrastructure-as-code (Terraform)