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Cloud Data Solutions Engineer
2 weeks ago
Job Opportunity:
This role involves the design and implementation of data pipelines using Spark-SQL and PySpark in Azure Databricks, as well as ETL pipelines using ADF. The position also entails building and maintaining a Lakehouse architecture in ADLS/Databricks, performing data preparation tasks, and collaborating with DevOps to deploy solutions.
Key Responsibilities:
- Design and build scalable data pipelines using Spark-SQL and PySpark in Azure Databricks
- Develop efficient ETL pipelines using Azure Data Factory
- Construct and maintain a Lakehouse architecture in ADLS/Databricks
- Perform data preparation tasks including data cleaning, normalization, deduplication, and type conversion
- Collaborate with DevOps team to deploy solutions in production environments
- Lead projects involving other team members and participate in projects led by others
- Apply change management tools to manage upgrades, changes, and data migrations