Azure Data Engineer Specialist
2 weeks ago
Job Title: Azure Data Engineer
Data Engineering and Management:
- Design, develop, and maintain scalable data pipelines using Azure Data Factory, Azure Synapse Analytics, and Azure Databricks.
- Implement data warehousing solutions and ensure data quality and integrity across various data sources.
- Manage and optimize data storage solutions such as Azure Data Lake Storage and Azure SQL Database.
Machine Learning Development and Implementation:
- Utilize Azure Machine Learning to build, train, and deploy machine learning models.
- Develop predictive models and algorithms to derive actionable insights from complex datasets.
- Collaborate with data scientists to integrate machine learning models into data pipelines and business processes.
Cloud Services Integration:
- Integrate and manage data across different Azure services and ensure seamless data flow.
- Implement data security and compliance measures in line with industry best practices.
Project Management:
- Work closely with stakeholders to gather requirements, define project objectives, and deliver data-driven solutions.
- Manage assigned deliverables and timelines to ensure successful project completion.
- Provide post-deployment support and maintenance for data and machine learning solutions.
Requirements:
- Proficiency in Azure Data Factory, Azure Synapse Analytics, and Azure Databricks.
- Strong experience with data storage solutions such as Azure Data Lake Storage and Azure SQL Database.
- Expertise in Azure Machine Learning for building, training, and deploying machine learning models.
Preferred Skills:
- Programming skills in Python or R, with experience in using machine learning libraries such as Scikit-Learn, TensorFlow, or PyTorch.
- Knowledge of SQL and experience with relational databases.
- Familiarity with version control systems like Git.
About Pyramid Consulting: Pyramid Consulting is a leading consulting firm specializing in data engineering and machine learning solutions. As an Azure Data Engineer, you will work closely with our team to design and implement scalable data pipelines and machine learning models to drive business growth and innovation.
What We Offer: Competitive salary, comprehensive benefits package, opportunities for professional growth and development, and a dynamic work environment.
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