Senior Data Engineer

The Goddard School is a leader in the franchise education sector, supporting over 600 schools across the United States. They are seeking a Senior Data Engineer responsible for integrating and analyzing raw data, developing datasets, and improving data quality and efficiency while collaborating with various stakeholders.

Responsibilities:

• 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 but not limited to 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
• Data Management, Modelling, Architecture, and Integration

Requirements:

• Bachelor's degree in data analytics or similar field
• Hands-on 7+ years' experience with SQL, Data integration, Data analysis, Data Modelling, and design
• 4+ years of Python, NodeJs or Java development experience
• 4+ years of experience with schema design and dimensional data modeling
• Experience in technology platforms across Microsoft Azure, Cloud Computing, Software as a Services (SaaS), Integration Platform as a Service (IPaaS), Infrastructure as a Service (IaaS)
• Previous experience as a data engineer or in a similar role
• Technical expertise with data models, data mining, and segmentation techniques
• Experience working and implementing solutions with Microservices Architecture
• Experience working with Data warehousing and Data Lake solutions
• Demonstrated ability to instrument Data Quality & Management standards and processes
• 4+ years working with data integration and ETL tools, such as Azure Data Factory, CDC, Replication, Talend, Informatica etc
• Strong problem-solving and analytical skills
• Master's degree in data analytics or related field
• Data engineering certifications is a plus