Azure Cloud Data Engineer
2 weeks ago
Intuitive is a leading cloud and SDx solution provider, supporting enterprise customers globally. As an engineering company, we deliver measurable value and key business outcomes. Our superpowers include DataOps, AI/ML, Cloud Native, AppSecOps, DevSecOps, Cloud Migration, Cloud FinOps, Cybersecurity, and SDx.
Our team has achieved significant milestones, including being recognized as one of America's fastest-growing private companies and receiving awards for cloud migration and artificial intelligence solutions.
About the Job:
Title – Azure Databricks Engineer
Job Overview:
We're seeking a skilled Azure Databricks Engineer to join our team. The ideal candidate will have hands-on experience with Azure cloud services, Databricks platform, and data engineering best practices. This role involves designing, building, and optimizing data pipelines and analytics solutions in a cloud-native environment, ensuring high availability, performance, and scalability for data-driven applications.
Key Responsibilities:
- Develop and implement scalable data pipelines and data engineering solutions using Azure Databricks, Azure Data Lake, and Azure Synapse Analytics.
- Optimize performance and ensure data pipelines are efficient and cost-effective by leveraging best practices for Databricks clusters, Spark, and Azure services.
- Utilize current Databricks expertise, Azure Synapse Analytics, and Azure skills to develop and optimize data solutions.
- Oversee the ingestion and migration of SQL, Hadoop, and Epic data to Databricks on Azure, prioritizing data migration of key datasets.
- Design and implement data storage solutions using Azure Blob Storage, Azure Data Lake, and Azure SQL Database.
- Apply strong SQL skills and experience in data modeling and ETL processes to ensure efficient data handling.
- Leverage experience with big data technologies and frameworks, such as Spark and Hadoop, to manage and analyze large datasets effectively
Skills:
- Expertise in Azure Databricks setup, management, and optimization.
- Strong understanding of Cloud architecture and big data solutions on Azure.
- Familiarity with DevOps practices and tools like Git, Jenkins, and Terraform.
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