Job Description
Drive data innovation as an Experienced Data Engineer with a focus on AI applications. Your skills will play a pivotal role in building and maintaining efficient data pipelines.
This position entails leveraging 4+ years of experience in data engineering, specializing in designing data pipelines that facilitate AI and business analytics. Key competencies include Python, SQL, and working knowledge of Azure services like Azure Synapse and Data Lake. You will work closely with AI Engineers to ensure data quality and compliance with governance standards.
Key Responsibilities:
• Design and maintain robust data pipelines for AI
• Manage data integrations using APIs and event-driven architectures
• Optimize Power BI dashboards and analytics models
• Implement data quality controls and validation measures
• Collaborate on data risk mitigation strategies
Requirements:
• 4+ years of relevant experience in data engineering
• Strong proficiency in Python and SQL
• E...
This position entails leveraging 4+ years of experience in data engineering, specializing in designing data pipelines that facilitate AI and business analytics. Key competencies include Python, SQL, and working knowledge of Azure services like Azure Synapse and Data Lake. You will work closely with AI Engineers to ensure data quality and compliance with governance standards.
Key Responsibilities:
• Design and maintain robust data pipelines for AI
• Manage data integrations using APIs and event-driven architectures
• Optimize Power BI dashboards and analytics models
• Implement data quality controls and validation measures
• Collaborate on data risk mitigation strategies
Requirements:
• 4+ years of relevant experience in data engineering
• Strong proficiency in Python and SQL
• E...
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