
Senior Cloud Engineer
5 days ago
We are seeking an experienced Cloud Engineer to join our team. The ideal candidate will have a strong background in designing, developing, and optimizing scalable data solutions on the Azure cloud platform.
Description:
The successful candidate will be responsible for designing and implementing scalable and secure data pipelines using Azure Databricks and Azure Data Factory. They will also write clean, efficient, and reusable code primarily in Python for cloud automation, data processing, and orchestration.
Responsibilities:
- Design, develop, and manage scalable and secure data pipelines using Azure Databricks and Azure Data Factory.
- Write clean, efficient, and reusable code primarily in Python for cloud automation, data processing, and orchestration.
- Architect and implement cloud-based data solutions, integrating structured and unstructured data sources.
- Build and optimize ETL workflows and ensure seamless data integration across platforms.
- Develop data models using normalization and denormalization techniques to support OLTP and OLAP systems.
- Manage Azure-based storage solutions including Azure Data Lake and Blob Storage.
- Troubleshoot performance bottlenecks in data flows and ETL processes.
- Integrate advanced analytics and support BI use cases within the Azure ecosystem.
- Lead code reviews and ensure adherence to version control practices (e.g., Git).
- Contribute to the design and deployment of enterprise-level data warehousing solutions.
- Stay current with Azure cloud technologies and Python ecosystem updates to adopt best practices and emerging tools.
Required Skills and Qualifications:
- Strong Python programming skills (Must-Have) – advanced scripting, automation, and cloud SDK experience.
- Strong SQL skills (Must-Have).
- Azure Databricks (Must-Have).
- Azure Data Factory.
- Azure Blob Storage / Azure Data Lake Storage.
- Apache Spark (hands-on experience).
- Data modeling (Normalization & Denormalization).
- Data warehousing and BI tools integration.
- Git (Version Control).
- Building scalable ETL pipelines.
Benefits:
The ideal candidate will receive a competitive salary package, opportunities for professional growth, and a dynamic work environment.
Others:
Please note that this is a senior-level position requiring at least 6 years of overall experience in cloud engineering or data engineering roles, with at least 2-3 years of hands-on experience with Azure cloud services.
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