|25% Responsible for designing data components and implementing results of research. Develops designs for critical data components including data persistence, data processing pipelines, real time and batch processing, data transformations, and map/reduce strategies for a variety of data elements, formats, sources, and targets. Is an expert at design and implementation, and often performs complex data development and engineering functions at a professional level. Knowledgeable in real time distributed systems handling high volume data processing and complex data models. |
25% Initiates, designs and uses complex SQL and NoSQL databases in research and production environments. Assists in the database design and implementation, and designs and implements complex data access layers for functional, high performance, and flexible system development and operation. Works in both cloud and local environments.
5% Functions as data architect for complex engineering assignments. Represents the unit and/or Principal Investigator to whom they are responsible at meetings and conferences in matters related to engineering design considerations and financial requirements.
5% Provides estimates using time schedules and budgetary considerations.
5% Provides data architectural, design, and development guidance, providing critical decision making for key systems development efforts.
5% Initiates and recommends changes in development, maintenance and system standards. Is a key member team in defining development, design, and system standards, as well as effective implementation of those standards. Understands and implements as part of the larger team integration and build processes and release management.
5% May supervise in-house development of system or component prototypes.
5% Participates in team quality assurance and testing efforts. Develops and executes moderately complex test plans. Ensures the team applies industry standard testing methods, including unit, functional, performance, and integration testing.
5% Participates in team Agile development efforts and is a key member of developing schedules and project assignments.
5% Ensures work is completed in a timely and efficient manner.
5% Provides direction and guidance to other Development Engineers and Applications programmers.
5% Plans, organizes, and performs the work of a professional engineering team engaged in a specialized engineering phase of a training and/or research program.Ã¯ Advanced knowledge associated with the planning, development and construction of engineering systems involving both hardware and software. Ã¯ Advanced knowledge of specialized design work as well as the overall field. Ã¯ Strong creativity and problem solving abilities to apply principles, practices and procedures within discipline to complete difficult assignments. Ã¯ Requires advanced knowledge of data architectures, data pipelines, real time processing, streaming and programming in Python and Java. In particular, must have experience with large, distributed, enterprise level system development. Ã¯ Must understand all levels of system design including design patterns and their implementation at the software component, subsystem and enterprise system level. Ã¯ Requires knowledge of advanced system design and architecture concepts including the different types of NoSQL databases and various SQL databases (especially Postgres), data streaming technologies, networking, security, cloud computing, and data management. Ã¯ Requires advanced skills associated with data system design, modification and implementation. Must be comfortable with iterative design approaches. Ã¯ Has skills needed to develop and implement system implementation plans with respect to data hubs. Ã¯ Must be able to communicate technical information in a clear and concise manner. Ã¯ Must be self motivated, work independently or as part of a team, able to learn quickly, meet deadlines and demonstrate problem solving skills. Ã¯ Must have senior level skill and experience with Java and Python programming specifically as it relates to data pipeline construction and data interfaces for relational (Postgres) and NoSQL (Cassandra and MongoDB) databases. Must have skill and experience with data frameworks and tools such as Spark, Storm, AWS DynamoDB, or others. Ã¯ Must have experience working in distributed cloud environments, preferably AWS. Understanding and previous experience with AWS data management environment and tools is a significant plus. Ã¯ Must have technical team leadership skill and experience as a senior developer with small development teams of 5-15 members. Ã¯ Advanced communication skills, both written and verbal, to convey complex information in a clear and concise manner. Ã¯ Advanced interpersonal and presentation skills. Ã¯ Ability to work in a highly collaborative manner; readily assess complex challenges and barriers and recommend effective resolutions. Ã¯ Demonstrated ability to lead, motivate and influence others.