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Job Description & How to Apply Below
In this role, you will create and maintain scalable data pipelines and cloud solutions, focusing on ETL/ELT development and data warehousing on Google Cloud Platform (GCP). Your hands-on experience with data engineering will drive business intelligence initiatives while optimizing data storage and ingestion frameworks for efficiency.
Key Responsibilities:
• Design scalable batch and real-time data pipelines on GCP
• Build data ingestion frameworks from various data sources
• Develop ETL/ELT processes with GCP-native tools
• Implement data models for analytics and machine learning
• Monitor data quality and governance standards
Requirements:
• Strong experience in Data Engineering and pipeline development
• Proficiency with GCP services:
Big Query, Dataflow, Cloud Storage
• Solid programming skills in Python, SQL, and Py Spark
• Knowledge of CI/CD pipelines and Dev Ops practices
• Bachelor’s or Master’s in a related field
Utilize your expertise in cloud-based solutions, data engineering, and programming to impact enterprise analytics.
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