Google Cloud Platform Data Engineer

Amaze Systems Inc
Issaquah, 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
Intermediate

Job location

Issaquah, United States of America

Tech stack

Java
API
Airflow
Big Data
Google BigQuery
Cloud Computing
Cloud Computing Security
Cloud Storage
Databases
Continuous Integration
Information Engineering
ETL
Data Systems
Data Warehousing
DevOps
Dimensional Modeling
Distributed Computing Environment
Data Flow Control
Identity and Access Management
Python
Standard Sql
Cloudera
SQL Databases
Google Cloud Platform
Spark
GIT
PySpark
Cloud Migration
Stream Processing
Data Pipelines

Job description

We are seeking a highly skilled Google Cloud Platform Data Engineer to design, develop, and maintain scalable data pipelines and cloud-based data solutions on the Google Cloud Platform (Google Cloud Platform). The ideal candidate will have strong experience in data engineering, ETL/ELT processes, data warehousing, and big data technologies, with expertise in Google Cloud Platform services such as BigQuery, Dataflow, Dataproc, Cloud Storage, and Pub/Sub., * Design, develop, and optimize scalable data pipelines on Google Cloud Platform.

  • Build and maintain ETL/ELT processes for ingesting, transforming, and loading large datasets.
  • Develop and manage data solutions using BigQuery, Dataflow, Dataproc, Cloud Composer, and Cloud Storage.
  • Integrate data from multiple sources including APIs, databases, flat files, and streaming platforms.
  • Implement batch and real-time data processing solutions.SA
  • Optimize data models, SQL queries, and cloud resources for performance and cost efficiency.
  • Work closely with Data Architects, Data Scientists, Business Analysts, and application teams.
  • Ensure data quality, governance, security, and compliance standards are met.
  • Monitor and troubleshoot data pipelines and production issues.
  • Support cloud migration and modernization initiatives.

Requirements

  • 7+ years of experience in Data Engineering.
  • 3+ years of hands-on experience with Google Cloud Platform (Google Cloud Platform).
  • Strong experience with:
  • BigQuery
  • Dataflow
  • Dataproc
  • Cloud Storage
  • Pub/Sub
  • Cloud Composer (Airflow)
  • Strong SQL and data modeling skills.
  • Experience developing ETL/ELT pipelines.
  • Proficiency in Python, PySpark, or Java.
  • Experience with Apache Spark and distributed data processing.
  • Knowledge of data warehousing concepts and dimensional modeling.
  • Experience with Git, CI/CD pipelines, and DevOps practices.
  • Strong understanding of cloud security and IAM concepts.

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