
Chief Cloud Data Architect
23 hours ago
We are seeking a skilled Cloud Data Engineer to design, develop, and optimize scalable data solutions on the Azure cloud platform.
The ideal candidate will have strong expertise in Python programming, Databricks, and advanced SQL. You will be responsible for building data pipelines and transforming complex data into actionable insights by leveraging cloud-native tools and technologies.
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.
- 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.
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