Description

  • 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.


Qualifications:

  • 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

Key Skills
Education

Any Gradute

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