Senior Data Engineer

Requisitos

• Senior experience as a data engineer, data analyst, or any equivalent role in data, who has designed conceptual and logical data models f..
• A record of turning ambiguous business context and imperfect data into a model with explicit entities, grain, keys, relationships, and ca..
• Hands-on master data management, including entity resolution: deterministic and probabilistic matching, blocking, duplicate detection, go..
• Advanced data quality technique
• You have designed and applied uniqueness, referential integrity, validity, completeness, consistency, re..
• Traditional data engineering: production SQL (joins, aggregations, window functions), batch ELT patterns, and enough PySpark or Spark SQL..

Desejáveis

• Relevant data management and governance experience: business glossaries, critical data elements, stewardship, naming standards, and datas..
• Prior work on Azure Databricks or Unity Catalog
• Experience preparing data for data scientists or analysts: feature grain, metric grain, slowly changing attributes, or point-in-time corr..
• Exposure to entity classification, schema matching, or duplication discovery across a large table estate
• Prior experience in a marketplace, B2B, or B2C company