Open Data
il y a 1 jour
About the job Open Data & Search Solutions EngineerWe are seeking a Data Discovery Engineer to lead the development and integration of search, metadata cataloguing, and Linked Open Data (LoD) capabilities across our data platform ecosystem. This role will focus on implementing and managing open-source search engines (SolR, OpenSearch, Elastic), data cataloging tools (Atlas, NADA), and semantic web technologies (DCAT, RDF, schema.org, Croissant) to improve data discoverability, interoperability, and reuse.Key ResponsibilitiesSearch Platform IntegrationDesign and deploy open-source search engine solutions such as Apache Solr, OpenSearch, or ElasticsearchOptimize indexing strategies for structured and unstructured data from diverse data sourcesDevelop custom search features (facets, filters, synonyms, auto-suggestions) tailored to metadata and dataset discoveryImplement scalable search pipelines with support for multilingual and full-text search capabilitiesMetadata Cataloging & Data DiscoveryDeploy and maintain metadata catalog systems such as Apache Atlas, NADA, or CKANEnsure metadata harvesting and harmonization across multiple sources using catalog APIs and connectorsIntegrate catalog systems with enterprise data lakes, APIs, and external repositoriesEstablish metadata governance policies and data stewardship workflows in collaboration with data ownersLinked Open Data (LoD) EnablementImplement Linked Open Data techniques using DCAT, RDF, schema.org, and W3C standardsPublish datasets and metadata as linked data endpoints for reuse and interoperabilityMap internal metadata schemas to external ontologies (e.g., DCAT-AP, schema.org, Croissant)Build SPARQL endpoints or graph-based access for semantic querying of data assetsPlatform Automation & IntegrationDevelop and maintain pipelines for metadata ingestion, enrichment, validation, and publicationIntegrate catalog and search platforms with analytics tools, APIs, and user-facing portalsSupport deployment of semantic technologies using containers, CI/CD pipelines, and cloud-native toolsCollaborate with platform engineers, data stewards, and domain experts to deliver robust metadata solutionsTechnical Skills6+ years experience deploying and operating open-source search engines (SolR, Elasticsearch, OpenSearch)Experience with metadata catalog platforms such as Apache Atlas, NADA, CKAN, or equivalentStrong understanding of metadata standards and vocabularies (DCAT, Dublin Core, schema.org, RDF, OWL)Proficiency in SPARQL, JSON-LD, XML, and semantic mapping techniquesFamiliarity with data discovery, information retrieval, and search tuning techniquesExperience integrating catalog and search systems with APIs and microservicesWorking knowledge of containerization (Docker) and orchestration (Kubernetes)Scripting or development skills in Python, Java, or Scala for search and metadata toolingFamiliarity with CI/CD pipelines (e.g., GitLab CI, GitHub Actions) and IaC tools (Terraform, Ansible)Preferred QualificationsBachelor's or Master's degree in Computer Science, Information Science, Data Engineering, or related fieldExperience working in open data, statistical, or public-sector environmentsKnowledge of FAIR data principles, metadata quality frameworks, and interoperability standardsExposure to graph databases (Blazegraph, GraphDB, Virtuoso) or triple storesContributions to or experience with semantic web and linked data communities #J-18808-Ljbffr
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