Cloud Data Engineer
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Job Location:
San Diego, CA - USA
Monthly Salary:
Not Disclosed
Posted on:
13 hours ago
Vacancies:
1 Vacancy
Job Summary
About this Position:
Job Title: Cloud Data Engineer
Key Responsibilities:
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Design develop and maintain ETL/ELT pipelines for data ingestion transformation and loading into Azure Data Lake and Synapse environments.
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Support data modeling schema design and data lifecycle management.
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Develop and optimize data pipelines using Azure Synapse Data Factory Databricks and related tools.
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Perform data validation cleansing and transformation to ensure data quality and consistency.
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Collaborate with stakeholders to support data analytics reporting and visualization requirements.
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Assist in cloud provisioning and deployment using Infrastructure as Code (IaC) and CI/CD pipelines.
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Implement and maintain RBAC data security and governance controls.
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Monitor and optimize data processing performance and resource utilization.
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Document data architecture pipelines and deployment processes.
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Provide training and support to client staff on Azure data tools and platforms.
Required Qualifications:
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Bachelors degree in Computer Science Data Engineering or related field.
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5 years of experience in data engineering and cloud-based data platforms.
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Strong expertise in Azure Data Factory Azure Synapse Data Lake and Databricks.
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Proficiency in SQL Python and data transformation frameworks.
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Experience with ETL/ELT design data modeling and big data processing.
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Knowledge of CI/CD pipelines automation and cloud deployment practices.
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Familiarity with data governance security and compliance standards.
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Relevant certifications such as Microsoft Certified: Azure Data Engineer Associate preferred.
