4-8 years professional experience in data engineering
3+ years hands-on experience with google cloud platform
Proficiency in python for data processing and scripting
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PwC is seeking a Senior Associate Data Engineer with expertise in Google Cloud Platform (GCP) to design and implement robust data pipelines and cloud-native data solutions. The role emphasizes collaboration, technical innovation, and mentoring within a dynamic team environment.
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Job Summary
You will play a crucial role in transforming raw data into actionable insights by designing and developing robust data solutions for clients.
The position requires translating complex business requirements into efficient technical implementations ensuring high-quality, scalable, and secure data solutions.
As a Senior Associate, you will take ownership of intricate data solutions, drive innovative practices, and mentor junior teammates across the entire data lifecycle.
Matching Summary
Match Score: 75
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PwC is seeking a Senior Associate Data Engineer with expertise in Google Cloud Platform (GCP) to design and implement robust data pipelines and cloud-native data solutions. The role emphasizes collaboration, technical innovation, and mentoring within a dynamic team environment.
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Skills & Requirements
Must-have
4-8 years professional experience in data engineering
3+ years hands-on experience with Google Cloud Platform
Proficiency in Python for data processing and scripting
Advanced SQL skills for complex analysis and optimization
Experience with Apache Airflow or Cloud Composer orchestration
Hands-on experience with dbt for transformation logic
Deep understanding of BigQuery, Dataflow, and Cloud Storage
Nice-to-have
GCP Professional Data Engineer certification
Experience in client-facing consulting environments
Exposure to migrating legacy systems to GCP
Knowledge of GDPR and CCPA data privacy regulations
Familiarity with Docker and Terraform tools
Ability to mentor junior engineers effectively
Key Requirements
Bachelor's Degree in computer science or related field
5 years of hands-on experience designing data platforms