You will engineer data solutions to drive insights and ensure data integrity across systems.
Responsibilities
- Write and optimize complex SQL queries to extract data and resolve inconsistencies across multiple data channels.
- Manipulate data and build interactive dashboards using Microsoft Excel to support departmental reporting needs.
- Analyze complex datasets to identify trends and support project initiation.
- Test case scenarios and validate response outcomes to improve customer experience based on project scope analysis.
Required Skills
- 5+ years of professional experience in data engineering or analysis.
- Expert proficiency in SQL.
- Hands-on experience with Python and PySpark.
- Experience working with Snowflake and Teradata platforms.
- Familiarity with Azure Data Lake environments.
- Proficiency in data visualization using Tableau.
- Master's degree in Computer Science, Information Technology, or Analytics.