Cascade Financial Services

Data Engineer

• Apply an in-depth understanding of data structures and information content.
• Select, deploy, and manage the systems and infrastructure required for a data processing pipeline in support of the project requirements.
• Investigate, create, and maintain data flows, data content, data element definitions with a goal of enterprise Master data integration.
• Determine technical breath in data profiling from different sources and determine whether and how data can support business and data requirements of its intended use.
• Develop and maintain common business definitions and metadata criteria for consistent metrics reporting across the enterprise.
• Design the architecture for new data and analytics platform to support analytics and data science and machine learning.
• Design the data models and data movement processes that support analytics and data science.
• Recommend and implement patterns and best practices for data engineering.
• Ensure quality processes are built into the design of the platform.
• Understand the architectural difference between solution approaches and communicate the advantages/disadvantages of your recommendation to both technical and non-technical audiences.
• Design and develop analytics and interactive visualizations that create business insights and clearly communicate data and trends.
• Develop complex SQL queries to obtain data from our source systems.
• Perform data validation and quality assurance to ensure data integrity and accuracy.
• Collaborate with IT and business partners to identify data sources and align data domains to authoritative sources of data.
• Enforce tactical enforcement of Data Governance policies and rules.
• Research new technologies while keeping up-to-date with technological developments in relevant areas of Data Governance, Master Data, and Data Quality.