Data Engineer – Google Cloud Platform

Signitives
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Job Details
Skills
- Google Cloud
- gcp
- google cloud platform
- java
- medallion architecture
Summary
Job Title: Data Engineer – Google Cloud Platform & Java Experience is mandatory
Location: Denver, CO (Remote)
Visa Status: & GC
Job Overview:
We are seeking a highly skilled Data Engineer with deep expertise in Google Cloud Platform (Google Cloud Platform) and modern data architecture. The ideal candidate should have hands-on experience building scalable data pipelines, implementing Medallion Architecture, and developing enterprise-grade solutions using BigQuery, PySpark, Dataflow, Airflow, and Java.
Key Responsibilities:
- Design and develop scalable batch and real-time data pipelines on Google Cloud Platform
- Implement Medallion Architecture (Bronze, Silver, Gold layers)
- Build high-performance data transformations using Python, PySpark, and Java
- Develop and optimize complex SQL queries for analytics workloads
- Work extensively with BigQuery for large-scale data processing and optimization
- Develop and deploy pipelines using Cloud Dataflow
- Orchestrate workflows using Cloud Composer (Apache Airflow)
- Manage storage and lifecycle using Google Cloud Storage (GCS)
- Implement CI/CD pipelines and version control practices
- Ensure governance, security, and access control using Google Cloud Platform IAM
- Optimize data solutions for performance, scalability, and reliability
Mandatory Skills:
- Strong hands-on experience with Google Cloud Platform (Google Cloud Platform)
- Expertise in BigQuery (Partitioning, Clustering, Query Optimization)
- Proven implementation experience with Medallion Architecture
- Strong Python and PySpark programming skills
- Hands-on Java Development experience (Mandatory)
- Advanced SQL skills (Joins, Window Functions, Performance Tuning)
- Experience with Cloud Dataflow
- Experience with Cloud Composer (Airflow)
- Experience with Google Cloud Storage (GCS)
- CI/CD Pipelines and Git
- Google Cloud Platform IAM and cloud security best practices
Nice to Have:
- Data Lake and Data Warehousing concepts
- Real-time streaming frameworks
- Data governance and data quality experience
- Agile/Scrum environment experience
- Dice Id: 91143212
- Position Id: 8996837
- Posted 19 hours ago
Company Info
About Signitives
At Signitives, we offer various engagement models to help our clients reach their business goals and get the most value from our product engineering services.
Our engagement models are tailored to fit our clients' unique needs and are designed to be flexible and adaptable.
Our operational methodologies are built on industry-proven frameworks and best practices, and are designed to help us plan, execute, and monitor our projects in a way that maximizes efficiency and minimizes risk.


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