We are seeking a skilled Data Engineer with knowledge and proven experience in data ontology development.

Data ontologies play a crucial role in enhancing data discoverability, improving data quality, and enabling advanced analytics. By providing a clear structure for data, they help organizations make informed decisions based on accurate and well-organized information. Defining the relationships between various data entities enables better data integration, interoperability, and analysis.

To be effective in this role, the candidate will need to develop data ontologies that serve as structured frameworks to help understand and manage data more effectively.

Roles and Responsibilities

Create ontologies that define the concepts, categories, and relationships relevant to ingested data. This involves identifying key entities and their attributes, as well as how they relate to one another.
Ensure that data from different sources can be integrated seamlessly. Map data from various systems to a common ontology, facilitating easier data sharing and collaboration amongst stakeholders
Work with Subject Matter Experts to reach consensus on how the ontology’s structure is designed, including the precise meanings of key words.
Serve as the data custodian, responsible for its provenance, accuracy, and location throughout project execution
Coordinate and participate in Technical Exchange Meetings with data stakeholders for both ingest and data receipt. Understand customer's goals and deficiencies and propose potential solutions for capability improvement for either side of the interface
Create visual representations of available data, to include data catalogues, in innovative ways to help data stakeholders discover relevant information necessary for mission execution
Create and maintain charts, graphs, and dashboards to make complex data understandable for stakeholders
With a modeling focus, build statistical tools and techniques to explore and analyze data, identifying trends, patterns, and relationships

Tech Stack

Versed in data cataloguing tools (e.g. DataHub, OpenMetadata)
Visualization tools (e.g. Kibana, Grafana)
Common schemas, xsd, open api, mil-specs
Experience in scripting language (e.g. python, bash, matlab)
Microsoft Office suite with advanced excel capabilities
Confluence / Jira
Preferred: Graph database (e.g. Neo4j, OrientDB)

Education and Experience

Bachelor’s Degree in technical field
5+ years experience in data engineering
Well versed in Extract, Transforms, Load (ETL) techniques and technologies, and will also be familiar with a variety of database types, schemas, and ontologies
While a heavy programming background is not required, sufficient technical knowledge in computer languages such as java is valuable
Experience in various areas of data transport to include RESTful API, Streaming API, SFTP, JMS, Kafka, message brokers, etc preferred but not required
Agile work environment experience using Jira or similar work management system

Abilities and Competencies

Active TS/SCI clearance with ability to obtain CI polygraph
Self-motivated and eager to work intently to satisfy mission requirements
Aggresively detail-oriented
Eager and able to rapidly learn new data types and technologies
Adaptable and has the desire to maintain our company culture
Ability to effectively communicate in verbal and written communications with internal and external stakeholders of various backgrounds
Ability to multitask and adjust priorities as needed
Ability to critically evaluate problem spaces and propose solutions in real time

Altamira Technologies Corp.

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