Data Engineer chez Altamira Technologies Corp.
Altamira Technologies Corp. · Centennial, États-Unis d'Amérique · Onsite
- Professional
- Bureau à Centennial
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
