LT
Job Description
Role Description
Design, develop, and maintain scalable, reliable, high-performance data pipelines to power enterprise data solutions.
Strong hands-on experience with SQL, Python, and PySpark for data processing, transformation, and data engineering workflows.
Experience working with Azure services, including Azure Data Lake Storage (ADLS) and Microsoft Graph APIs.
Proficiency in the Databricks platform for building and managing data engineering solutions.
Familiarity with Specification-Driven Development (Spec-Driven Development) practices.
Experience using GitHub Copilot to improve development productivity is an added advantage.
Design, develop, and maintain scalable, reliable, high-performance data pipelines to power enterprise data solutions.
Strong hands-on experience with SQL, Python, and PySpark for data processing, transformation, and data engineering workflows.
Experience working with Azure services, including Azure Data Lake Storage (ADLS) and Microsoft Graph APIs.
Proficiency in the Databricks platform for building and managing data engineering solutions.
Familiarity with Specification-Driven Development (Spec-Driven Development) practices.
Experience using GitHub Copilot to improve development productivity is an added advantage.
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