Job Description

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

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

Data Architect – Google Cloud Platform - Remote

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