Senior Data Engineer (Azure Databricks)

About You You are a Senior Data Engineer passionate about building scalable, production-grade data pipelines and transforming complex data from multiple sources into reliable, business-ready datasets. You thrive when working with Azure Databricks, Python, and Spark to solve data integration challenges and support enterprise data ecosystems. You enjoy connecting data across business platforms, optimizing data transformations, and ensuring accuracy and consistency throughout the data lifecycle. You take ownership of your work, ask the right questions early, and proactively communicate risks and blockers. You value clear documentation, technical discipline, and delivering high-quality solutions that support business needs. You Bring to Applaudo the Following Competencies: 5+ years of professional experience in Data Engineering, designing, building, and maintaining production-grade data pipelines. Strong hands-on experience with Azure Databricks. Advanced Python skills for data processing, transformation, and pipeline development. Solid experience with Apache Spark, including PySpark and/or Spark SQL, for processing data at scale. Advanced SQL proficiency, including complex transformations, data validation, and query performance optimization. Strong knowledge of data warehousing and dimensional modeling, including facts, dimensions, and data marts. Experience integrating data from multiple sources, including REST APIs, relational databases, cloud storage, and SFTP. Hands-on exper