Senior Data Architect Position
2 weeks ago
We are seeking a skilled data engineer to work with a global leading manufacturing client and provide an engaging product experience through best-in-class PIM implementation.
- Develop scalable pipelines using Spark to efficiently process and transform large volumes of data.
- Design and develop a robust 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 through APIs.
- Leverage Azure Databricks and datalake for data processing and storage.
- Develop APIs using Python's Flask framework to support front-end applications.
Key Qualifications:
- 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.
Why Work With Us?
- Accelerated career growth and global exposure.
- Collaborative, inclusive work environment rooted in innovation.
- Exposure to best-in-class automation framework.
- Innovation-first culture: We embrace automation, AI insights, and clean data.
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