
Senior Big Data Expert
2 days ago
About this role
We're seeking an experienced Data Engineer to lead the design and development of scalable data pipelines using Spark.
You'll work with clients to deliver a top-notch product experience through best-in-class PIM implementation and rich product information across channels and digital touchpoints.
Key responsibilities include:
- Designing and developing efficient pipelines to process and transform large datasets using Spark
- Crafting a scalable and robust framework for generating PDF reports using Python and Spark
- Utilizing Snowflake Spark SQL to perform aggregations on high volumes of data
- Developing Stored Procedures Views Indexes Triggers and Functions in Snowflake Database to maintain data and share with downstream applications via APIs
- Leveraging Azure Databricks and Datalake for data processing and storage
- Developing APIs using Python's Flask framework to support front-end applications
You'll collaborate with Architects and Business stakeholders to understand reporting requirements and improve existing reporting pipelines and infrastructure.
Requirements include:
- 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
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