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# GCP Data Engineer

- **Company:** Signitives Technologies LLC
- **Location:** United States (Remote available)
- **Contract:** Permanent contract
- **Skills:** Airflow, Big Data, BigQuery, Cloud Computing, Cloud Computing Security, Cluster Analysis, Computer Programming, Continuous Integration, Data Architecture, Data Governance, Data Security, Data Systems, Data Warehousing, Data Flow Control, Identity and Access Management, Python (Programming Language), Performance Tuning, Scrum Methodology, Query Optimization, SQL Databases, Data Streaming, Enterprise Data Management, Data Processing, Freeform SQL, Google Cloud, Data Storage Technologies, Git, Data Lakes, Pyspark, Software Version Control, Data Pipelines
- **Published:** June 5, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=afef76c3c4cb302e

## About the Role

Do you have experience in Version control systems?, * Strong hands-on experience with Google Cloud Platform (GCP)

 * Expertise in BigQuery (partitioning, clustering, query optimization)
 * Proven experience implementing Medallion Data Architecture
 * Strong programming skills in Python and PySpark
 * Advanced proficiency in SQL (complex joins, window functions, performance tuning)
 * Hands-on experience with Cloud Dataflow
 * Experience with Cloud Composer (Airflow) for orchestration
 * Experience working with Google Cloud Storage (GCS)
 * Knowledge of version control systems (Git) and CI/CD practices
 * Strong understanding of GCP IAM and cloud security best practices

Preferred Qualifications

 * Experience working with large-scale enterprise data platforms
 * Knowledge of data warehousing and data lake concepts
 * Familiarity with real-time streaming frameworks
 * Experience in data governance and data quality frameworks
 * Exposure to Agile/Scrum methodologies

## Description

We are seeking a highly skilled Data Engineer with deep expertise in Google Cloud Platform (GCP) and modern data architecture. The ideal candidate will have hands-on experience designing scalable data pipelines, implementing Medallion Architecture, and building robust enterprise-grade data solutions., * Design, develop, and maintain scalable batch and real-time data pipelines on GCP

 * Implement and manage Medallion Architecture (Bronze, Silver, Gold layers) for data processing
 * Build high-performance data transformations using Python and PySpark
 * Develop and optimize complex SQL queries for analytical workloads
 * Work extensively with BigQuery for large-scale data processing and performance tuning
 * Develop and deploy pipelines using Cloud Dataflow
 * Orchestrate workflows using Cloud Composer (Apache Airflow)
 * Manage data storage and lifecycle using Google Cloud Storage (GCS)
 * Implement version control and CI/CD pipelines using Git-based tools
 * Ensure data security, governance, and access control using GCP IAM
 * Optimize data solutions for performance, scalability, reliability, and cost-efficiency


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