- • 5+ years of experience in data engineering or a similar role, with hands-on experience building data pipelines and data stores on Azure.
- • Robust experience with Azure Data Factory, Databricks, Synapse Analytics, Microsoft Fabric, HDInsight/ADLS and related Azure data services.
- • Strong hands-on expertise in PySpark, Apache Spark, SQL and database technologies, including scalable ETL/ELT and data modeling.
- • Proficiency in Python, Scala or Java for data processing and engineering solutions.
- • Experience implementing CI/CD pipelines using Azure DevOps, including YAML and Classic pipelines.