Data Engineer – Azure, Databricks, PySpark
PebbleDB
PebbleDB is looking for a Data Engineer with 4 to 8 years of experience in Azure, Databricks, and PySpark to build scalable data solutions. This role involves designing and implementing data pipelines to support advanced analytics and business intelligence.
Job description
Requirements
• We are seeking an experienced Data Engineer with 4 to 8 years of hands-on experience in building scalable data solutions
• The ideal candidate will have a strong background in Azure, Databricks, PySpark, and SQL, and will be responsible for designing and implementing robust data pipelines and solutions to support advanced analytics and business intelligence initiatives
• Proficiency in Azure Data Services (e.g., Azure Data Lake, Azure Data Factory, etc.)
• Strong experience with Databricks and PySpark
• Solid understanding of SQL and database performance tuning
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PebbleDB
PebbleDB is looking for a Data Engineer with 4 to 8 years of experience in Azure, Databricks, and PySpark to build scalable data solutions. This role involves designing and implementing data pipelines to support advanced analytics and business intelligence.