-Bachelor's degree in IT, Computer Science, or related field.
-3-5+ years of experience in Data Engineering.
-Proficiency in BI, Data Warehouse, Data Analytics Implementation, or Big Data, with a focus on process automation.
-Strong expertise in one of the following cloud platforms: Azure Data Platform (e.g., Azure -Data Lake, etc.) and Python, or AWS Data Platform (e.g., AWS Data Lake, etc.).
-Familiarity with data queries, data visualization, CI/CD tools, collaboration tools, and -SDLC, preferably in Agile or ITIL environments.
-Experience working with diverse data sets, including structured and unstructured data.
-Proficiency in Data Engineering tools like Hadoop, Spark, etc.
-Knowledge of both relational databases (RDBMS) and NoSQL database
