Data Engineer
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About The Position
The Data Engineer will design, develop, implement, and optimize enterprise data solutions for our cloud-based data platforms including Valley's Data Lake, Enterprise Data Warehouse, Data Marts, and ETL interfaces. This role is crucial in ensuring that the data infrastructure is robust, scalable, and capable of supporting the organization's data needs. The Data Engineer will work closely with various stakeholders to deliver high-quality data solutions that meet business requirements and enhance decision-making processes. Responsibilities include but are not limited to the design and development of ETL pipelines, data models, queries, scripts, and maintenance procedures. The Data Engineer will identify opportunities to optimize performance from an end-to-end perspective and will collaborate with business domain leads, data scientists, product owners, enterprise architects, and other functional leads to deliver enterprise data solutions. This collaboration will extend to foundational solution functional teams, vendors, and technology support teams to build and deliver solutions on business initiatives. The Data Engineer will be responsible for delivering solutions through a minimum viable product (MVP) and subsequent iterative cycles of development. They will prepare and maintain design and architectural documents for management and development teams, design and develop cloud-based infrastructure for both real-time and batch ETL processes, and build multi-dimensional databases and data marts. Additionally, the Data Engineer will participate in the development of data management policies, standards, and procedures, and will identify, design, and implement internal process improvements such as automating manual processes and optimizing data delivery. This position requires interfacing across several business areas, proactively assisting in defining project direction with business stakeholders, and communicating complex technical information to project stakeholders, including those without a technical background, to capture non-functional requirements.
