Data Operations Specialist

Builds, manages, and operationalizes data pipelines.

Tasks

The concrete work activities defined for this role in the DCWF v5.1 spreadsheet. Core tasks are required for the role; additional tasks are associated but not mandatory.

• T400A additional Implement data management standards, requirements, and specifications.
• T520A additional Implement data mining and data warehousing applications.
• T520B additional Develop and implement data mining and data warehousing programs.
• T543 additional Develop secure code and error handling.
• T5550 additional Program custom algorithms.
• T5841 additional Advise higher level leadership on critical data management issues.
• T5844 additional Apply data acquisition, cleaning, transformation, and ingestion best practices for machine learning data conduits.
• T5846 additional Assess and address the limitations of methods to deliver data.
• T5850 additional Assist integrated project teams to identify, curate, and manage data.
• T5852 additional Build automated data management conduits.
• T5854 additional Collaborate with appropriate personnel to address Personal Health Information (PHI), Personally Identifiable Information (PII), and other data privacy and data reusability concerns for AI solutions.
• T5857 additional Comply with data classification and handling requirements through access control and security best practices.
• T5896 additional Maintain current knowledge of advancements in DoD AI Ethical Principles and Responsible AI.
• T5899 additional Manipulate and clean large, disparate datasets for bulk analysis to identify connections.
• T6470 additional Read, interpret, write, modify, and execute simple scripts (e.g., PERL, VBS) on Windows and UNIX systems (e.g., those that perform tasks such as: parsing large data files, automating manual tasks, and fetching/processing remote data).
• T702 additional Manage the compilation, cataloging, caching, distribution, and retrieval of data.
• T764 additional Perform secure programming and identify potential flaws in codes to mitigate vulnerabilities.
• T858B additional Record and manage test data.

Knowledge, Skills, and Abilities

KSA statements define what a person filling this role knows or can do. "Knowledge" is what they must know, "Skill" is what they can perform, and "Ability" is a durable capacity they bring to the work.

• A6060 ability core Ability to collect, verify, and validate test data.
• K0028 knowledge core Knowledge of data administration and data standardization policies and standards.
• K0031 knowledge core Knowledge of data mining and data warehousing principles.
• K0032 knowledge core Knowledge of database management systems, query languages, table relationships, and views.
• K0104 knowledge core Knowledge of query languages such as SQL (structured query language).
• K1128 knowledge core Knowledge of Java-based database access application programming interface (API) (e.g., Java Database Connectivity [JDBC]).
• K1128A knowledge core Knowledge of database access application programming interfaces (APIs) (e.g., Java Database Connectivity [JDBC]).
• K6300 knowledge core Knowledge of how to utilize Hadoop, Java, Python, SQL, Hive, and PIG to explore data.
• K7017 knowledge core Knowledge of data operations (DataOps) processes and best practices.
• K7019 knowledge core Knowledge of data security roles and responsibilities.
• K7029 knowledge core Knowledge of how to collect, store, and monitor data.
• S179B skill core Skill in establishing data security controls.
• S186 skill core Skill in developing data dictionaries.
• S3722 skill core Skill in data mining techniques (e.g., searching file systems) and analysis.
• S6520 skill core Skill in data pre-processing (e.g., imputation, dimensionality reduction, normalization, transformation, extraction, filtering, smoothing).
• S6610 skill core Skill in performing format conversions to create a standard representation of the data.
• S6690 skill core Skill in transformation analytics (e.g., aggregation, enrichment, processing).
• S6730 skill core Skill in using data mapping tools.
• S6760 skill core Skill in writing scripts using R, Python, PIG, HIVE, SQL, etc.
• S7062 skill core Skill in developing and maintaining automation scripts.
• S7066 skill core Skill in identifying data acquisition, collection, and curation risks.
• K0942 knowledge additional Knowledge of the organization's core business/mission processes.
• K1034A knowledge additional Knowledge of Personally Identifiable Information (PII) data security standards.
• K1034C knowledge additional Knowledge of Personal Health Information (PHI) data security standards.
• K7010 knowledge additional Knowledge of container orchestration and resource management platforms.
• K7020 knowledge additional Knowledge of DoD AI Ethical Principles (e.g., responsible, equitable, traceable, reliable, and governable).
• K7025 knowledge additional Knowledge of how AI solutions integrate with cloud or other IT infrastructure.
• K7028 knowledge additional Knowledge of how to automate development, testing, security, and deployment of AI/machine learning-enabled software.
• K7036 knowledge additional Knowledge of laws, regulations, and policies related to AI, data security/privacy, and use of publicly procured data for government.

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