Senior Data Engineer

Qualifications:
Bachelor's degree in Computer Science, Information Technology, or related field.
4 years of relevant experience in ETL development, data integration, and system analysis, with strong expertise in SSIS and T-SQL.
Advanced skills in data profiling, data modeling, and data migration strategies; exposure to cloud ETL tools (AWS Glue, Azure Data Factory, Google Cloud Dataflow) is a plus.
Proficiency in Python (with Pandas) for scripting and automation; familiarity with C# for SSIS scripting is desirable.
Strong knowledge of data warehousing principles, performance tuning, and database concepts.
Experience with data visualization tools (Power BI, SSRS, Tableau, Excel) for reporting and analytics.
Excellent analytical, problem-solving, and communication skills; ability to manage multiple tasks and work effectively under pressure.
Duties and responsibilities:
Collaborate with business stakeholders to gather, analyze, and document complex data requirem...