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Randstad - Phoenix, AZ

posted 2 months ago

Full-time - Mid Level
Phoenix, AZ
Administrative and Support Services

About the position

The Google Cloud Platform AI Vertex Data Engineer role focuses on developing and operationalizing data solutions on Google Cloud Platform. The position requires extensive experience in data engineering, particularly in data warehousing and analytics, with a strong emphasis on Python and Google Cloud technologies. The engineer will work on creating frameworks for machine learning operations, ensuring compliance, and monitoring data lakes, while collaborating with cross-functional teams to meet business requirements.

Responsibilities

  • Create a framework for ML and LLM Ops.
  • Develop processes and flow for AI Compliance Governance framework.
  • Monitor the Data Lake and engage appropriate support teams as needed.
  • Create reports to monitor usage data for billing and SLA tracking.
  • Work with business and cross-functional teams to gather and document requirements.
  • Provide support to ensure the availability and performance of ETL/ELT jobs.
  • Provide technical assistance and cross-training to team members.
  • Collaborate with business partners for continuous improvement opportunities.

Requirements

  • 6 years of experience in Data Engineering with a focus on Data Warehousing and Data Analytics.
  • Strong hands-on expertise in Python and SQL.
  • Solid understanding of large-scale solutioning and operationalization of data warehouses and data lakes on Google Cloud Platform.
  • Experience in design and build of scalable data pipelines for extraction, transformation, and loading.
  • Hands-on experience with Google Cloud Platform tools such as Dataflow, DataProc, Cloud Composer, BigQuery, Cloud Storage, GKE, and Airflow.
  • At least 5 years of experience in Data Governance and Metadata Management.
  • Strong understanding of relational and dimensional data modeling.
  • Experience in DevOps and CI/CD technologies.
  • Excellent written and verbal communication skills, including technical documentation.

Nice-to-haves

  • Experience with Pyspark and Scala.
  • Knowledge of AI and machine learning concepts.

Benefits

  • Health insurance
  • 401K contribution
  • Incentive and recognition program
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