{"id":1227586,"url":"https://alion.io/job/ekfrazo-technologies-private-limited-senior-metadata-ai-data-services-engineer","title":"Senior Metadata & AI Data Services Engineer","company":{"id":3800102,"name":"Ekfrazo Technologies","domain":"ekfrazo.in","url":"https://alion.io/company/ekfrazo-technologies-private-limited","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, 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capabilities that allow users and agents to find, understand, and consume enterprise data.\n\nTech Stack :\n\n- OpenMetadata, DataHub, Atlan\n\n- Knowledge graph and semantic technologies\n\n- Neo4j and graph databases\n\n- Vector databases, RAG architectures, MCP frameworks\n\n- Metadata management and data catalog platforms\n\nResponsible For :\n\n- Building metadata and catalog services\n\n- Implementing knowledge graph and semantic capabilities\n\n- Delivering data discovery and search experiences\n\n- Enabling AI-ready data foundations\n\n- Building context services for AI agents and applications\n\n- Providing subject matter expertise on metadata and AI data services\n\nCandidate Profile :\n\nWe are seeking senior engineers who have:\n\n- Delivered enterprise-scale platform capabilities rather than traditional ETL solutions.\n\n- Led implementation of complex data platforms in production environments.\n\n- Worked with cloud-native technologies on Microsoft, Google Cloud, AWS, or comparable ecosystems.\n\n- Built reusable services, APIs, integrations, and platform components.\n\n- Supported operational applications and AI workloads, not just reporting and analytics.\n\n- Operated within highly governed enterprise environments.\n\n- Experience implementing data virtualization, federation, metadata platforms, governance capabilities, media data integration, or similar large-scale platform services.\n\n- Strong opinions informed by hands-on delivery experience and a willingness to contribute to technical direction.\n\nProfiles to Avoid :\n\n- Traditional ETL developers\n\n- Reporting and BI-focused engineers\n\n- Dashboard-centric analytics engineers\n\n- Data warehouse administrators\n\n- Migration-only specialists\n\nSkills\nKnowledge Graph, Neo4j, DataHub, Cloud, Data Catalogue, Metadata, Artificial Intelligence, 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