Data Systems Analyst 3 - 136354

DEPARTMENT OVERVIEW:

The Mission of the San Diego Supercomputer Center is to translate innovation into practice. SDSC adopts and partners on innovations in industry and academia in the areas of software, hardware, computational and data sciences, and related areas, and translates them into cyberinfrastructure that solves practical problems across any and all scientific domains and societal endeavors. Cyberinfrastructure refers to an accessible, integrated network of high-performance computing, data, and networking resources and expertise, focused on accelerating scientific inquiry and discovery. With more than 250 employees and $30-50M of revenue a year, SDSC is a global leader in the design, development, and operations of cyberinfrastructure.

SDSC supports hundreds of multidisciplinary programs spanning a wide variety of domains, from earth sciences and biology to astrophysics, bioinformatics, and health IT. SDSC presently operates multiple large HPC systems ranging from a 120k x86 CPU core general purpose system to a system explicitly designed for Artificial Intelligence and Machine Learning, and a nationally distributed system open for all of academia to integrate with. SDSC offers research data services across the entire vertical stack from universally scalable storage to consulting services on FAIR, Big Data, and AI. SDSC offers a rich set of cloud services both on-premise, in the commercial cloud, and as hybrid services across both.

SDSC has three geographic scopes, a national scope supporting cyberinfrastructure for the entire US research and education community, a California scope with a special focus on convergence research that addresses the three dominant threats to CA: Drought, Fire, Earthquakes, and a campus scope focusing on advancing the global impact of SDSC by advancing the research objectives of the UC San Diego faculty, researchers, and students. SDSC impacts researchers at scales from 1,000's to Millions. SDSC annually trains thousands of researchers in cyberinfrastructure tools and software, and supports thousands of individual researchers via Unix accounts on its large HPC systems. SDSC was a leader developing the Science Gateway concept, and continues to be a global leader in its evolution. SDSC operates multiple major such gateways with user communities ranging from the tens of thousands to the millions. SDSC's educational programs includes online courses that have been attended by more than a million students.

SDSC is committed to democratizing access to cyberinfrastructure across all of its geographic scopes. SDSC strives towards a culture that supports our employees to be their best, achieve their goals, and enjoy their lives, both professionally and personally.

The Center for Applied Internet Data Analysis (CAIDA) is an independent analysis and research group based at the University of California's San Diego Supercomputer Center. CAIDA investigates both practical and theoretical aspects of the Internet, with particular focus on topics that are macroscopic in nature and provide enhanced insight into the function of Internet infrastructure worldwide, improve the integrity of the field of Internet science as well as the integrity of operational Internet measurement and management, and inform science, technology, and communications public policies.

POSITION OVERVIEW:

Applies skills as a seasoned, experienced data/information management professional with a full understanding of industry practices and campus / medical center / OP and department methodologies, policies, and procedures to resolve complex and wide-ranging issues where analyses of situations or data require a review of a variety of factors. Demonstrates competency in selecting methods and techniques to obtain solutions.

Acts as an experienced professional for Internet measurements data collection and administration in support of the Center for Applied Internet Data Analysis (CAIDA) lab at the UC San Diego Supercomputer Center. The duties of this position include the use of specialized tools for Internet measurement data collection, documentation, analysis, curation and dissemination, and software development related to these activities. The position undertakes to capture, curate, and sharing of four types of security-relevant Internet measurement data (topology, routing, unsolicited traffic, DNS), management of meta-data (e.g., geolocation and other annotations), and administering execution of new vetted Internet measurements experiments by researchers. Data collection and curation duties include implementing, testing, running, and refining data collection software based on environment and research needs, managing disk space and offloading collected data to distributed/cloud storage, and to long-term storage facilities, curating and indexing data including using various statistical disclosure controls for privacy protection.

Will assist CAIDA's primary Systems Administrator with duties such as the configuration and remote maintenance of measurement systems, with particular attention to maintaining infrastructure and data security, and supporting a virtualized cloud research computing environment. Works with the system administrator to maintain 100GB passive monitoring platforms to capture two-way passive traces data. Maintain passive traces capturing, anonymization, post-processing, curation, and sharing protocols. Works to maintain two-way and Internet background radiation (unsolicited traffic) passive traces time-series database.

Supports users running vetted measurements experiments on CAIDA infrastructure including but not limited to execution of ITDK, Ark, and BGPStream.

This position interacts with numerous external collaborators including remote monitor site contacts, researchers with whom we share our data, collaborators with whom we share measurement infrastructure. This position also supports research programmers, visiting researchers, graduate students, and postdoctoral fellows with whom the group collaborates on publications and research.

For more information, please visit: https://www.sdsc.edu/

1. Bachelor's degree in related area and / or equivalent experience / training.

2. Familiarity with data model patterns in one or more common business or academic domains. Ability to read and interpret scientific papers to understand data use cases and advise end users on relevance to their own experiments.

3. Ability to represent relevant information in abstract models. Demonstrated ability to design and generate reports using standard graphing (e.g., Grafana, Python visualization libraries) and reporting tools spreadsheets, pivot tables and statistical tools.

4. Demonstrated experience with UNIX operating systems and shell scripting, particularly Ubuntu.

5. Demonstrated experience in using scripting languages (Perl, Python, GOlang) to process and extract data. Familiarity with JavaScript or JavaScript libraries for web authoring.

6. Thorough knowledge of data management systems, practices, and standards. Demonstrated expertise in applying advanced computer technology as a problem-solving tool in data modeling, analysis, storage management, and other administrative functions and solutions.

• Job offer is contingent upon satisfactory clearance based on Background Check results.

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