About
Build and operate pipelines using Azure Data Factory or Synapse Data Pipelines to ingest and transform data into Azure Data Lake and Synapse/SQL layers Develop SQL views/tables and reusable transformation logic to support analytics and reporting, including Power BI semantic models Own reliability for assigned data domains by monitoring jobs, triaging incidents, performing root cause analysis, and executing break/fix and performance tuning
Required Qualifications
2-5 years in data engineering or adjacent software/data roles with hands-on delivery in cloud data platforms Strong SQL and performance tuning experience on Synapse/SQL Server or equivalent Practical experience with Azure Data Factory/Synapse pipelines, Databricks (PySpark), and Azure Data Lake Familiarity with dimensional/semantic modeling for Power Query or Power BI
Languages
- English
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