Data Engineer creating scalable data pipelines using technologies like Databricks and Azure for intelligent data solutions. Focused on collaboration with multidisciplinary teams to tackle complex data challenges.
Responsibilities
Design, develop, and maintain scalable, reliable data pipelines.
Build data ingestion, transformation, and modeling solutions using Databricks, Spark/PySpark, Cloudera, and Azure Data Factory (ADF).
Ensure data quality, integrity, and usability across the entire pipeline.
Design and maintain Data Lake and Data Warehouse solutions, applying data governance best practices.
Work with concepts and architectures such as Bronze, Silver, and Gold layers, star schema, Delta Tables, Delta Sharing, and analytical tables.
Collaborate with technical and business teams to orchestrate solutions aligned with company objectives.
Requirements
Solid experience as a Data Engineer or in a similar role.
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