Data Engineer

* Develop and maintain scalable data pipelines using PySpark and distributed data processing frameworks. * Leverage Azure Data Factory (ADF) to orchestrate and automate complex data workflows and ETL processes. * Implement data solutions in Databricks for efficient big data processing and real-time analytics. * Design and optimize ETL processes to extract, transform, and load data from various sources into Azure cloud storage. * Ensure data accuracy and performance tuning using SQL for querying and managing large datasets. * Collaborate with cross-functional teams to implement secure, reliable, and scalable data solutions on Azure.

* Must have skills : PySpark ,Azure Data Factory (ADF),Databricks ,ETL ,SQL * Location : Gurgaon/Hyderabad * Exp : 3-5 years * Mode : Hybrid/Remote * Max salary : 13 LPA * Notice period : Immediate

Job Category: Data Engineer

Job Type: Hybrid

Job Location: Gurgaon