Job Description:
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Design build and maintain scalable secure data pipelines using Databricks and PySpark.
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Architect and implement cloud-based data solutions integrating both structured and unstructured data sources.
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Develop clean efficient and reusable Python code for cloud automation data processing and orchestration.
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Build optimize and manage ETL workflows to ensure seamless data integration across platforms.
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Create robust data models using normalization and denormalization techniques for OLTP and OLAP systems.
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Identify and resolve performance issues across data flows and ETL processes.
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Support advanced analytics initiatives and BI use cases within the cloud ecosystem.
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Lead code reviews enforce coding standards and ensure effective use of Git for version control.
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Participate in the design and deployment of enterprise-level data warehouse solutions.
-
Stay updated with the latest Cloud and Python technologies to incorporate best practices and new tools.
Job Description: Design build and maintain scalable secure data pipelines using Databricks and PySpark. Architect and implement cloud-based data solutions integrating both structured and unstructured data sources. Develop clean efficient and reusable Python code for cloud automation data p...
Job Description:
-
Design build and maintain scalable secure data pipelines using Databricks and PySpark.
-
Architect and implement cloud-based data solutions integrating both structured and unstructured data sources.
-
Develop clean efficient and reusable Python code for cloud automation data processing and orchestration.
-
Build optimize and manage ETL workflows to ensure seamless data integration across platforms.
-
Create robust data models using normalization and denormalization techniques for OLTP and OLAP systems.
-
Identify and resolve performance issues across data flows and ETL processes.
-
Support advanced analytics initiatives and BI use cases within the cloud ecosystem.
-
Lead code reviews enforce coding standards and ensure effective use of Git for version control.
-
Participate in the design and deployment of enterprise-level data warehouse solutions.
-
Stay updated with the latest Cloud and Python technologies to incorporate best practices and new tools.
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