
Pivotal Data Engineering Professional
4 days ago
As a pivotal member of our team, you will play a vital role in designing and implementing large-scale data environments.
- Design and Develop ETL Pipelines
- Develop and Maintain Advanced Data Models
- Collaborate with Cross-Functional Teams
- Develop and Maintain Data Warehouses
Requirements:
- A bachelor's or master's degree in computer science, information systems, data science, or a related field is required.
- At least 6 years of experience in data analysis, engineering, or solution design in the compliance, risk, or financial services domains are necessary.
- Strong knowledge of Power BI (DAX, Power Query, data modeling) and advanced SQL, especially with Snowflake, is essential.
- Hands-on experience with data modeling, ETL pipelines, and performance tuning in large-scale data environments is crucial.
- A solid understanding of analytics for risk and compliance use cases such as false positive reduction, alert triaging, and investigative workflow analysis is required.
- Experience working with cloud data platforms, ideally in a Snowflake-based data lakehouse architecture, is highly desirable.
- Strong analytical and problem-solving skills, with the ability to distill technical complexity into business-oriented solutions, are essential.
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