Google Cloud Platform Data Engineer

The Smart
Minneapolis, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Minneapolis, United States of America

Tech stack

Artificial Intelligence
Airflow
Big Data
BigTable
Google BigQuery
Cloud Computing
Cloud Database
Cloud Storage
Continuous Integration
Data Architecture
Information Engineering
ETL
Data Systems
Data Warehousing
DevOps
Data Flow Control
Hadoop
Identity and Access Management
Python
Cloud Services
Cloudera
Shell Script
SQL Databases
Data Logging
Google Cloud Platform
Spark
Build Server
GIT
Kubernetes
Information Technology
Collibra
Google Cloud Functions
Star Schema
Terraform
Looker Analytics
Data Pipelines
Apache Beam
Docker

Job description

Data Architecture: Design and implement scalable, secure, and cost-optimized data pipelines and data warehouses on Google Cloud Platform

  • Pipeline Development: Build and maintain ETL/ELT pipelines using Dataflow, Apache Beam, Cloud Composer, and Pub/Sub
  • Data Modeling: Create and optimize data models for BigQuery, Cloud SQL, Cloud Spanner, and Bigtable
  • Cloud Services: Hands-on with Google Cloud Platform services - BigQuery, Dataflow, Dataproc, Cloud Storage, Cloud Functions, Vertex AI, Looker
  • Automation & DevOps: Implement CI/CD for data pipelines using Terraform, Cloud Build, and Git. Infrastructure as Code
  • Performance & Optimization: Tune data pipelines and queries for cost, performance, and reliability
  • Governance & Security: Ensure data quality, lineage, encryption, IAM, and compliance with enterprise standards
  • Leadership: Collaborate with Solution Architects, Product, and Business teams. Mentor 2-3 data engineers
  • Stakeholder Management: Translate business requirements into technical solutions and present to leadership

Requirements

We are looking for a Senior Google Cloud Platform Data Engineer with 12+ years of experience to lead the design, development, and optimization of large-scale data platforms on Google Cloud. The ideal candidate will architect data solutions, mentor junior engineers, and drive best practices for scalability, performance, and governance., 12+ years of overall IT experience with 8+ years in Data Engineering

  • 5+ years of hands-on experience with Google Cloud Platform
  • Expert in BigQuery, Dataflow/Apache Beam, Cloud Composer, Pub/Sub, Cloud Storage
  • Strong programming in Python, SQL, and Shell Scripting
  • Experience with Spark, Dataproc, Hadoop ecosystem
  • Hands-on with Terraform, Cloud Build, Docker, Kubernetes
  • Deep understanding of Data Warehousing concepts, Star/Snowflake Schema, CDC
  • Experience with data governance tools, monitoring, and logging on Google Cloud Platform
  • Google Cloud Platform Professional Data Engineer Certification preferred
  • Excellent communication and client-facing skills
  • Bachelor's/Master's degree in Computer Science, Engineering, or related field

Good to Have

  • Experience with Looker, dbt, Airflow
  • Knowledge of GenAI/Vertex AI for data applications
  • Prior experience in Healthcare, Finance, or Retail domains
  • Experience with multi-region, multi-project Google Cloud Platform setups

Apply for this position