Job Description
Drive data migration success as a GCP Data Migration Engineer specializing in PySpark and Salesforce. Leverage your expertise in Google Cloud and ETL pipelines for transformative data solutions.
This role requires a minimum of 4-5 years of experience focusing on GCP Dataproc, Apache Spark, and Python scripting. You will design and optimize ETL pipelines within the GCP ecosystem while ensuring compliance with Salesforce data models and APIs. Bringing solid technical depth and debugging skills is essential for handling complex datasets.
Key Responsibilities:
• Develop and optimize data migration pipelines in GCP
• Implement custom transformations using Python and PySpark
• Proficiently manage BigQuery with a focus on SQL and table design
• Handle file management utilizing Google Cloud Storage patterns
• Ensure Salesforce data model compliance in migration projects
Requirements:
• Minimum 4-5 years working with GCP Dataproc and Spark
• Solid understanding of ...
This role requires a minimum of 4-5 years of experience focusing on GCP Dataproc, Apache Spark, and Python scripting. You will design and optimize ETL pipelines within the GCP ecosystem while ensuring compliance with Salesforce data models and APIs. Bringing solid technical depth and debugging skills is essential for handling complex datasets.
Key Responsibilities:
• Develop and optimize data migration pipelines in GCP
• Implement custom transformations using Python and PySpark
• Proficiently manage BigQuery with a focus on SQL and table design
• Handle file management utilizing Google Cloud Storage patterns
• Ensure Salesforce data model compliance in migration projects
Requirements:
• Minimum 4-5 years working with GCP Dataproc and Spark
• Solid understanding of ...
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