Data Engineer

RESPONSIBILITIES: Conduct data profiling and analyze source systems to ensure data quality. Present clear insights and findings to colleagues to facilitate effective data usage. Design, build, and test complex or large scale data products. Collaborate with teams to deliver comprehensive data integration services. Select and implement appropriate technologies to create resilient, scalable, and future proof data solutions and integration pipelines. Develop relevant data models across various subject areas and articulate their purposes. Understand and apply industry recognized data modeling patterns and standards. Compare and align different data models to ensure consistency. Design and manage an effective metadata repository, and recommend changes to existing repositories. Familiarize yourself with various tools for managing metadata. Provide guidance and support to less experienced team members. Address issues in databases, data processes, and data products as they arise. Monitor services, identify trends, and initiate actions to resolve problems. Determine appropriate remedies and assist with their implementation and preventive measures. Utilize established standards and tools to design, code, test, and document moderate to complex programs and scripts based on specifications. Collaborate with team members to review specifications and ensure alignment. Grasp core technical concepts related to data engineering and apply them with guidance. Review requirements and specifications, and define test conditions. Identify issues and risks associated with work, and analyze test activities and results.