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You will be updated with latest job alerts via emailPUMAs BI Team is in the process of moving Puma Data Warehouse to Azure Cloud so we are implementing Microsofts best practices (EnterpriseScale 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
Universitydegree in Computer Sciences or a similar field of studies
3 years of experience in Azure environment. Ideally accomplished Databricks Certified Associate Data Engineer or DP203: 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
Full-Time