Goddard

Data Engineer

• Responsible for integrating, analyzing raw data, developing, and maintaining datasets and improving data quality and efficiency.
• Develops and maintains scalable data pipelines, integration tools and builds out new API integrations to support continuing increases in data usage, volume, and complexity.
• Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition.
• Designs data integrations, data quality framework and integrate it with monitoring services.
• Strong hands on capabilities across integration toolsets including ADF, Replication, CDC etc.
• Integrate data from different SOR’s, combine raw information and create resulting models ready for consumption.
• Interpret trends and patterns.
• Performs data analysis required to troubleshoot data related issues and assist in the resolution of data issues.
• Identifying, designing, and implementing internal process improvements including re-designing infrastructure for greater scalability, DB, SQL, and data pipelines performance tuning, optimizing data delivery, and automating manual processes.
• Build solution prototypes as needed and write algorithms against data.
• Implements processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.
• Collaborates with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility, and fostering data-driven decision making across the organization.
• Works closely with a team of frontend and backend engineers, product managers, and analysts.

Senior Data Engineer