
Azure Cloud Systems Specialist
1 week ago
Job Opportunity:
As a Data Engineer, you will be responsible for designing, building, testing and maintaining large-scale data processing systems on Azure.
About the Role:
- Develop and implement data warehousing solutions using Azure Data Factory (ADF), Azure Databricks (ADB), PySpark, and SQL.
- Collaborate with cross-functional teams to ensure seamless integration of data engineering solutions with business applications.
- Stay up-to-date with emerging trends and technologies in data engineering and cloud computing.
Key Responsibilities:
- Develop and maintain ETL (Extract, Transform, Load) processes using ADF and PySpark.
- Design and implement data pipelines using Azure Databricks (ADB).
- Collaborate with data scientists to develop and deploy machine learning models using Azure Machine Learning.
- Ensure data security, quality, and integrity throughout the data engineering lifecycle.
Requirements:
- 4+ years of experience in data engineering, preferably with Azure Data Factory (ADF) and Azure Databricks (ADB).
- Strong understanding of data processing frameworks such as PySpark and SQL.
- Experience with containerization using Docker and orchestration using Kubernetes.
- Excellent problem-solving skills and ability to work in a fast-paced environment.
Preferred Qualifications:
- Master's degree in Computer Science or related field.
- Proficiency in programming languages such as Python, Java, and C#.
- Experience with cloud-based data storage solutions such as Azure Blob Storage and Azure Data Lake Storage.
What We Offer:
- Competitive salary and benefits package.
- Opportunities for career growth and professional development.
- Diverse and inclusive work environment.
- Recognition and rewards for outstanding performance.
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