Data Engineer – Power BI , SQL,Azure

 Minimum 2-4 years of experience in data engineering, data warehousing,
and business intelligence solutions.
 Hands on experience in Power BI and SQL
 Hands-on experience with Azure Synapse Analytics,
Azure Data Factory, Data Lake, Azure SQL, and Databricks.
 Proficiency in writing optimized SQL queries and Spark development
(PySpark, Spark SQL).
 Experience with hybrid cloud deployments and integration between on-
premises and cloud environments.
 Strong understanding of data engineering best practices, such as code
modularity, documentation, and version control.
 Knowledge of data and analytics concepts, including dimensional
modeling, ETL, reporting tools, data governance, and data warehousing.