Data Engineer (Databricks )

Job Title: Data Engineer Experience: Mid-Level Location: Hyderabad, India Job Summary We are looking for a mid-level Data Engineer to design and develop scalable data pipelines on the Azure Databricks platform. You will be responsible for transforming raw data into actionable insights using PySpark and presenting them via high-performance Power BI dashboards. Key Responsibilities Design and implement end-to-end data pipelines using Azure Databricks and PySpark to process large-scale datasets. Build and optimize Delta Lake tables using the Medallion Architecture (Bronze, Silver, Gold). Create interactive and complex Power BI reports, utilizing DAX for advanced calculations and performance tuning. Write and tune complex SQL queries for data extraction and transformation within the Lakehouse environment. Work closely with business analysts to translate requirements into technical data models. Technical Skills Required Core: Python, PySpark, Spark SQL. Platform: Azure Databricks (Workflows, Unity Catalog, Delta Live Tables). BI: Power BI (Desktop & Service), DAX, Power Query. Job Title: Data Engineer Experience: Mid-Level Location: Hyderabad, India Job Summary We are looking for a mid-level Data Engineer to design and develop scalable data pipelines on the Azure Databricks platform. You will be responsible for transforming raw data into actionable insights using PySpark and presenting them via high-performance Power BI dashboards. Key Responsibilities Design and implement end-to-end data pipelines using Azure Databricks and PySpark to process large-scale datasets. Build and optimize Delta Lake tables using the Medallion Architecture (Bronze, Silver, Gold). Create interactive and complex Power BI reports, utilizing DAX for advanced calculations and performance tuning. Write and tune complex SQL queries for data extraction and transformation within the Lakehouse environment. Work closely with business analysts to translate requirements into technical data models. Technical Skills Required Core: Python, PySpark, Spark SQL. Platform: Azure Databricks (Workflows, Unity Catalog, Delta Live Tables). BI: Power BI (Desktop & Service), DAX, Power Query.