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Job Title:

Graph Database + SPARQL + SQL

Company: LTIMindtree

Location: New delhi, Delhi

Created: 2026-04-29

Job Type: Full Time

Job Description:

Skill: Graph Database + SPARQL + SQLExperience: 5 to 12 yearsLocation: Hyderabad / Pune / Chennai / Bangalore / Mumbai / Kolkata / Noida Job Description:Responsibilities and ImpactAssist in the organization and categorization of data assets within the data catalogAssist in the design development and implementation of the data catalog defining functionalities and ensuring alignment with overall data governance goalsEnsure the accuracy and consistency of metadata across all data entriesPromote data discoverability and machine readability to enhance data usabilityCollaborate with data scientists business stewards and technical data stewards to ensure requirements are met for data catalogue integrationCollaborate with cross functional teams to maintain and improve data catalogue standardsSupport the development and implementation of data catalogue policies and proceduresParticipate in training sessions to educate stakeholders on data catalogue functionalities and best practicesWhat We’re Looking For Basic Required QualificationsBachelors degree in Information Science Data Management Knowledge Engineering or a related fieldKnowledge of graph databases and understanding of SQL and SPARQLStrong analytical and problemsolving skillsFamiliarity with data management principles and metadata standardsExcellent attention to detail and accuracyAbility to work collaboratively in a team environment Key Soft SkillsEffective communication skills both written and verbalStrong organizational and time management skillsProactive and eager to learn new technologies and methodologiesAbility to adapt to changing priorities and work in a fastpaced environmentAdditional Preferred QualificationsExperience working with data catalog tools and platformsFamiliarity with data governance and data stewardship practicesUnderstanding of machine learning concepts and their application in metadata managementExperience with data visualization tools and techniques

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