Hybrid Senior Data Engineer Building Innovative Data Solutions
Cpus Engineering Staffing Solutions Inc.
Become a pivotal part of a cross-discipline team as a Senior Data Engineer. Your role focuses on developing data-driven applications to enhance customer-centric experiences in a hybrid work setting.
In this position, you will deliver robust data lake and warehouse products to meet reporting and analytics needs. Your expertise in data pipelines and secure data handling will be essential while collaborating with various teams. Leverage your skills in Azure technologies and modern data practices for innovative solutions through agile methodologies.
Key Responsibilities:
• Build and optimize scalable data ELT/ETL pipelines
• Collaborate with architects and various teams for data integration
• Ensure data quality and lineage throughout integration cycles
• Provide production support for data transformation issues
• Document workflows and maintain code via source control
Requirements:
• Bachelor’s degree in Computer Science or related field
• Experience with Azure Data Factory and Databricks
• Proficiency in Python, Spark, and SQL frameworks
• Knowledge of data governance and quality principles
• Effective communicator with technical and non-technical teams
Drive innovative data solutions in a supportive, agile environment, elevating data practices for enterprise success.
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In this position, you will deliver robust data lake and warehouse products to meet reporting and analytics needs. Your expertise in data pipelines and secure data handling will be essential while collaborating with various teams. Leverage your skills in Azure technologies and modern data practices for innovative solutions through agile methodologies.
Key Responsibilities:
• Build and optimize scalable data ELT/ETL pipelines
• Collaborate with architects and various teams for data integration
• Ensure data quality and lineage throughout integration cycles
• Provide production support for data transformation issues
• Document workflows and maintain code via source control
Requirements:
• Bachelor’s degree in Computer Science or related field
• Experience with Azure Data Factory and Databricks
• Proficiency in Python, Spark, and SQL frameworks
• Knowledge of data governance and quality principles
• Effective communicator with technical and non-technical teams
Drive innovative data solutions in a supportive, agile environment, elevating data practices for enterprise success.
#J-18808-Ljbffr
Vacancy posted 4 days ago
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