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2 days ago
We are seeking a highly skilled professional to design and develop scalable data pipelines for large datasets.
Key Responsibilities:
- Develop efficient data processing pipelines using Spark
- Design and develop robust frameworks for generating PDF reports using Python and Spark
- Utilize Snowflake SQL to perform aggregations on high-volume data
- Develop database objects such as Stored Procedures, Views, Indexes, Triggers, and Functions in Snowflake Database
- Leverage Azure Databricks and Datalake for data processing and storage
- Develop APIs using Python's Flask framework to support front-end applications
Requirements
- Proven experience as a Data Engineer with a strong understanding of data pipelines and ETL processes
- Proficiency in Python with experience in data manipulation libraries such as Pandas and Numpy
- Experience with SQL, Snowflake, Spark for data querying and aggregations
- Familiarity with Azure cloud services such as Data Factory, Databricks, and Datalake
Benefits
- Opportunity to work on complex data projects
- Chance to develop skills in cloud-based technologies
- Collaborative and dynamic work environment
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