Found Description
Join a leading hybrid team as a Data Engineer with expertise in Google Cloud Platform. Leverage Python and BigQuery to design advanced data solutions and pipelines.
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: BigQuery, Dataflow, Cloud Storage
• Solid programming s...
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: BigQuery, Dataflow, Cloud Storage
• Solid programming s...
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