Posted:-1 days ago|
Platform:
Remote
Full Time
Key Responsibilities:
• Design, develop, and maintain ETL pipelines using Azure Databricks notebooks and workflows. • Perform big data processing and analytics using Spark on the Databricks platform.
• Write optimized and efficient code using PySpark, SparkSQL, and Python.
• Implement and enhance data transformation and integration pipelines.
• Manage secrets and credentials securely using Key Vault and Databricks secret scopes
• Write and debug complex SQL queries (preferably PL/SQL and Spark SQL) for data retrieval and analysis.
• Troubleshoot and resolve issues related to Python, PySpark, and SQL.
• Collaborate with cross-functional teams to understand data requirements and deliver solutions.
• Use Git for version control and manage CI/CD pipelines for automated deployments.
Required Skills:
• Strong experience with Azure cloud services and cloud-native data engineering.
• Proficiency in Databricks, Spark, PySpark, and SparkSQL.
• Solid understanding of SQL variants, especially PL/SQL.
• Experience with Git and CI/CD tools and practices.
• Excellent problem-solving, communication, and collaboration skills
PI Square Technologies India
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