Ampcus - Alpharetta, GA
posted about 2 months ago
The Data System Engineer at Ampcus, Inc. will play a crucial role in the development and management of data systems that support both on-premise and cloud-based platforms, specifically utilizing AWS and Azure. This position requires a highly motivated individual who is capable of handling various tasks related to data engineering, data modeling, ETL processes, data warehousing, and data analytics. The successful candidate will be responsible for establishing, modifying, and maintaining data structures and associated components according to design specifications. They will also be expected to understand and document business data requirements effectively. In this role, the Data System Engineer will create both Conceptual and Logical Data Models at the Enterprise and Business Unit/Domain levels. A strong understanding of XML/JSON, schema development, database concepts, and designs is essential. The engineer will collaborate with Senior Data Engineers and Senior Data Architects to develop platform-level data models and database designs. Participation in reviews of their own work and that of colleagues is expected to ensure quality and adherence to standards. The Data System Engineer will also need to have a working knowledge of core tools used in planning, analyzing, designing, building, testing, configuring, and maintaining assigned applications. They will participate in the software delivery methodology of the assigned team, which may include Agile, Scrum, Test-Driven Development, or Waterfall, to support the development of data engineering pipelines. Additionally, the engineer should understand infrastructure technologies and components, including servers, databases, and networking concepts. Writing code to develop, maintain, and optimize batch and event-driven processes for managing and analyzing large volumes of structured and unstructured data is a key responsibility. The role also involves metadata integration in data pipelines and automating build and deployment processes using Jenkins to enable faster, high-quality releases.