PUMA’s BI Team is in the process of moving “Puma Data Warehouse” to Azure Cloud, so we are implementing Microsoft’s best practices (Enterprise-Scale for Analytics and AI deployed in “Data Landing Zone).
· Design and Implementation of scalable data pipelines using Azure Databricks & Apache Spark (PySpark) to handle diverse data sources (CSV, Parquet, Delta Table).
· Implementing Medallion Architecture (Bronze, Silver, Gold layers) and quality control of the schema using Delta Lake characteristics such as schema enforcement, schema evolution and ACID transactions.
· Building prototypes for PUMA Solution Architects in technological areas of Apache Spark, ETL pipelines using Databricks Autoloader and Delta Live Tables.
· Extension of BI tabular cube solutions using star schema data modeling
YOUR TALENT
· University degree in Computer Sciences or a similar field of studies
· 3 years of experience in Azure environment. Ideally accomplished Databricks Certified Associate Data Engineer or DP-203: Microsoft Azure Associate Data Engineer.
· Strong understanding of Azure BI Services and work experience on data ingestion and transformation workflows using PySpark on Databricks and ADLS Gen2.
· 3 years of previous coding in Python; Pyspark; Spark SQL and T SQL
· Good skills in DAX (using DAX Studio, Tabular Editor)
· Very high motivation in helping/guiding teammates to succeed in projects
· Fluent in Business English
SPEED & SPIRIT is what we look for in our candidates, defined by some simple values that inspire us to BE DRIVEN in our performance, BE VIBRANT in our sporting legacy, BE TOGETHER in our team spirit, and BE YOU to let our individual talent and experience shine. Applying for a job at PUMA is easy. Simply click APPLY ONLINE and follow the steps to upload your application.
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