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1 week ago
A Cloud Data Engineer designs and develops scalable data pipelines using advanced technologies. In this role, you will work on building robust frameworks for generating reports using Python and Spark.
The successful candidate will have experience with data processing pipelines, ETL processes, and cloud-based services like Azure Databricks and Datalake.
- Develop efficient data processing pipelines using Spark
- Design and develop robust frameworks for generating PDF reports using Python and Spark
- Utilize Snowflake Spark SQL for high-volume data aggregations
- Develop stored procedures, views, indexes, triggers, and functions in Snowflake Database
- Leverage Azure Databricks and Datalake for data processing and storage
- Develop APIs using Flask framework to support front-end applications
Requirements:
- Proven experience as a Cloud Data Engineer with a strong understanding of data pipelines and ETL processes
- Proficiency in Python with experience in data manipulation libraries like Pandas and Numpy
- Experience with SQL, Snowflake, Spark for data querying and aggregations
- Familiarity with Azure cloud services like Data Factory, Databricks, and Datalake
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