Role & responsibilities 5+ years of experience in data engineering or a related field. Strong hands-on experience with Azure Synapse Analytics and Azure Data Factory (ADF) . Proven experience with Databricks , including development in PySpark or Scala . Proficiency in DBT for data modeling and transformation. Expert in Analytics and reporting Power BI expert who can Develop power BI models and develop interactive BI reports Setting up RLS in Power BI reports Expertise in SQL and performance tuning techniques. Strong understanding of data warehousing concepts and ETL/ELT design patterns. Experience working in Agile environments and familiarity with Git-based version control. Strong communication and collaboration skills. Preferred candidate profile Experience with CI/CD tools and DevOps for data engineering. Familiarity with Delta Lake and Lakehouse architecture. Exposure to other Azure services such as Azure Data Lake Storage (ADLS) , Azure Key Vault , and Azure DevOps. Experience with data quality frameworks or tools.

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