Role:- Data bricks
Location:- Minnetonka, MN (Hybrid) 03days/week onsite
Fulltime
Job Description
Must Have Technical/Functional Skill
Design, develop, and implement data pipelines and ETL processes using Azure services, with a focus on Azure Databricks, Azure Data Factory (ADF), Azure Functions, and Azure AI Search.
• Leverage Python SDKs to build and optimize data processing and analysis tasks, ensuring high performance and scalability in data workflows.
• Write and deploy Python applications that can run on Kubernetes, ensuring efficient containerization and orchestration of data processing tasks.
• Implement and integrate Azure AI Search capabilities to enhance data accessibility and retrieval for analytics and business intelligence.
• Utilize version control tools such as GitHub for code management and collaboration, and manage multiple activities in a fast-paced environment while adhering to best practices in coding and documentation
Roles & Responsibilities
3+ years of experience in a data engineering role.
• Strong experience with Azure services, particularly Azure Databricks, ADF, and Azure AI Search.
• Proficiency in Python and its relevant libraries and Spark, with a focus on leveraging Python SDKs for data engineering tasks.
• Experience writing and deploying Python applications, including familiarity with containerization and orchestration tools.
• Experience working with diverse data formats and data storage solutions.
• Familiarity with version control software (e.g., GitHub) and agile methodologies.
• Strong problem-solving and analytical skills, with a keen attention to detail.
• Excellent communication and collaboration abilities, with a proven track record of working effectively in teams.
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