
Data Engineering Specialist
14 hours ago
About the Role:
We're seeking a skilled Data Engineer to develop scalable data pipelines, design robust frameworks for generating PDF reports, and leverage Snowflake features for data processing and storage.
This is an exciting opportunity to work with global leading manufacturing clients and provide an engaging product experience through best-in-class PIM implementation.
- Main Responsibilities:
- Develop stored procedures, views, indexes, triggers, and functions in Snowflake Database to maintain data and share with downstream applications.
- Leverage Azure Databricks and Datalake for data processing and storage.
- Develop APIs using Python's Flask framework to support front-end applications.
- Collaborate with Architects and Business stakeholders to understand reporting requirements.
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, and Spark for data querying and aggregations.
- Familiarity with Azure cloud services such as Data Factory, Databricks, and Datalake.
Benefits:
You'll have the opportunity to work in a collaborative and inclusive work environment rooted in innovation, with opportunities for growth and development.
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