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- Perform data transformations through aggregate functions, joins, and sanitization.
- Design schema to illustrate entity relationships and to provide a foundation for data architecture.
- Create and maintain enterprise level applications.
- Work with both structured and unstructured data sets using on premise and Cloud services.
- Create estimates of work, refine SQL queries, and share data insights across multiple divisions.
- 2 years of experience working with Python.
- RDBMS Experience with relational databases (SQL Server, PostgreSQL, Oracle).
- Experience with ETL tools such as SSIS, Informatica, ADF, AWS Glue, and Talend.
- Hands-on experience with one of the major Cloud services (AWS, Azure, Google Cloud Platform).