Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent practical experience.
Minimum of 4+ years of proven experience in data roles, with a strong background in ETL development, System Analysis, and comprehensive data analysis.
Demonstrated experience in data preparation, data profiling, complex data analysis, and data reporting, along with technical troubleshooting of ETL jobs.
Competent-level proficiency in T-SQL, including complex query writing, performance tuning, and stored procedure development.
Strong hands-on experience with ETL tools such as SQL Server Integration Services (SSIS).
Proficiency in data analysis techniques and tools (e.g., advanced SQL, Python with Pandas, Excel for large datasets).
Experience with data visualization tools (e.g., Power BI, SSRS, Tableau, Excel for advanced reporting).
Solid understanding of database concepts, data warehousing principles, and data modeling.
Familiarity with cloud-based data platforms and services (e.g., Azure Data Factory, AWS Glue, Google Cloud Dataflow) is a significant plus.
Exposure to data migration projects and understanding of migration strategies is highly desirable.
Knowledge of other programming languages (e.g., Python for scripting, C# for SSIS scripting) is a plus.