• Technical Skills:
  • Proven ability as a seasoned, experienced professional with a full understanding of data engineering and related specializations.
  • Demonstrated expertise in Microsoft Azure data services (Data Factory, Data Lake, Synapse Analytics, Databricks, Power BI).
  • Hands-on experience with SQL, Python, and PySpark for data engineering and analytics.
  • Strong knowledge of data warehousing concepts, relational and dimensional modeling, and modern data architecture.
  • Experience integrating data from ERP/CRM systems (e.g., Oracle EBS, Salesforce) and streaming platforms.
  • Skilled at working on problems of diverse scope, applying judgment to select appropriate methods, techniques, and solutions.

Skills, Specialized Knowledge (Desired):

• Experience supporting large-scale analytics in healthcare, life sciences, or regulated industries.
• Familiarity with IoT/...