Azure Databricks Engineer
2 months ago
About us:
Intuitive.Cloud is one of the fastest-growing (INC 5000, CRN) Cloud & SDx solution and services companies supporting enterprise customers on a global scale. Intuitive is an "Engineering Company" delivering measurable value and key business outcomes.
Intuitive Superpowers:
- DataOps & AI/ML
- Cloud Native, AppSecOps, DevSecOps
- Cloud Migration & Transformation
- Cloud FinOps
- Cybersecurity (App/Data/Infra) & GRC
- SDx & Digital Workspace
We are proud to partner with some of the world's leading enterprises and serve 200+ customers across different industry verticals. We have achieved many milestones along the way, including being recognized as a top-10 fast-growth 150 IT company in the Americas by CRN in 2022 and being named one of America's fastest-growing private companies by INC 5000 in 2022. That’s not all Even CIO Review awarded us as the Most Promising Cloud Migration Company and Artificial Intelligence Solutions Provider in 2022.
About the job:
Title – Azure Databricks Engineer
Start date: Immediate
Position Type: Full Time
Location: Remote across India
Work Time: IST with some overlap with US hours
Job Overview:
We are seeking a highly skilled and motivated Azure Databricks Engineer to join our dynamic team. The ideal candidate will have hands-on experience in Azure cloud services, Databricks platform, and data engineering best practices. This role will involve 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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