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Data Architect – Google Cloud Platform - Remote

Remote • Posted 5 hours ago • Updated 5 hours ago

Contract W2

8 Months

No Travel Required

Remote

60+

Fitment

Dice Job Match Score™

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Job Details

Skills

Agile
Cloud Computing
Apache Airflow
Data Lake
Data Governance
Google Cloud
Good Clinical Practice
GCS
Google Cloud Platform
Performance Tuning
Python
Data Security
Data Quality
Data Storage
ELT
SQL
Scrum

Summary

Key Responsibilities

Design, develop, and maintain scalable batch and real-time data pipelines on Google Cloud Platform
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 Google Cloud Platform IAM
Optimize data solutions for performance, scalability, reliability, and cost-efficiency

Required Skills & Experience

Strong hands-on experience with Google Cloud Platform (Google Cloud Platform)
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 Google Cloud Platform 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

Skill	Experience in Years
Google Cloud Platform (Google Cloud Platform)
BigQuery
Medallion Architecture
Cloud Dataflow
Cloud Composer (Airflow)
Google Cloud Storage (GCS)
CI/CD Pipelines
Google Cloud Platform IAM
ETL/ELT Pipelines
Query & Pipeline Optimization

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10217051
Position Id: 9056344
Posted 5 hours ago

Contact the job poster

Samir Ahmed

Recruiter @ ITBMS Inc.

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