
Data Engineer Position
6 days ago
Are you looking for a new career challenge? This data engineering position offers the opportunity to work with global leading manufacturing clients, providing engaging product experiences through best-in-class PIM implementation and building rich, relevant, and trusted product information across channels and digital touchpoints.
Responsibilities:
- Develop scalable pipelines using Spark to efficiently process and transform data.
- Design and develop a scalable framework for generating PDF reports using Python and Spark.
- Utilize Snowflake and Spark SQL to perform aggregations on high volumes of data.
- Develop stored procedures, views, indexes, triggers, and functions in Snowflake Database to maintain data and share with downstream applications via APIs.
- Collaborate with architects and business stakeholders to understand reporting requirements.
- Maintain and improve existing reporting pipelines and infrastructure.
The ideal candidate will have:
- 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 like Pandas and Numpy.
- Experience with SQL, Snowflake, Spark, and Azure cloud services.
- Excellent communication and collaboration skills.
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