Stefanini Group

Stefanini Group

Google Cloud Platform Data Engineer

Dearborn, Michigan, USA · Contract

Sponsorship not specifiedDetected 99 days ago
PythonGitSQLBigQuerySnowflakeRedshiftGCPCloud PlatformsKubernetesTerraformCI/CDRESTgRPCOAuthMachine LearningSparkAirflowData EngineeringData ScienceLLMsRAGCybersecurityRecruitingControls

About the role

  • Stefanini Group is hiring! Stefanini is looking for a Google Cloud Platform Data Engineer (Dearborn, MI) For quick apply, please reach out to Adil Khan at / We are looking for candidate who is responsible for designing, building, and maintaining data solutions including data infrastructure, pipelines, etc. for collecting, storing, processing and analyzing
  • large volumes of data efficiently and accurately ResponsibilitiesArchitect and scale end-to-end data pipelines on Google Cloud Platform, transforming complex telemetry and enterprise data into high-quality, analytics-ready assets using Medallion architectures. Lead the implementation of robust CI/CD workflows, rigorous data governance, and security controls

Requirements

  • Strong understanding of Generative AI principles and architectures, including Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems.
  • Experience RequiredSenior Data Engineer with 7+ years in data engineering and 10+ years in software with AI/MLProficiency in Python programming.
  • Experience deploying and managing services on Google Cloud Platform, including Compute Engine, Cloud Storage, IAM, and Cloud Functions.
  • Experience working with large-scale data processing frameworks such as Apache Spark, Dataflow, or BigQuery.
  • Experience designing and maintaining data warehouse solutions (e.g., BigQuery, Snowflake, Redshift).
  • Hands-on experience with Google Cloud Platform (Google Cloud Platform) services relevant to AI/ML.
  • Familiarity with data engineering concepts and practices.
  • Expertise in prompt engineering techniques for interacting with LLMs.
  • Experience with the OpenAI SDK.
  • Proficiency with version control systems (e.g., Git).

Skills

  • Using Terraform, Git, and Airflow to ensure reproducible, secure, and cost-optimized cloud infrastructure.
  • For example, using Cloud Composer to orchestrate scheduled data pipelines that feed into a BigQuery data warehouse.
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