14 Graph Db Jobs

A leading software consultancy company in Mumbai is seeking a highly skilled Azure Data Architect. The ideal candidate should have extensive experience in data architecture, with a strong focus on transforming legacy systems to Azure Graph DB. The role requires excellent communication skills, teamwork, and the ability to mentor and support other team members. Responsibilities: Data Architecture Design: Design and implement robust data architecture solutions on Azure, ensuring scalability, performance, and security. Legacy System Transformation: Lead the transformation of legacy systems to modern Azure Graph DB, ensuring minimal disruption and maximum efficiency. Data Migration: Plan and execute data migration strategies, ensuring data integrity and consistency throughout the process & remapping source to target model. Azure Data Services: Utilize Azure data services such as Azure Cosmos DB (Graph API) to build and manage graph database solutions. Data Modeling: Develop and maintain graph data models to support business requirements and optimize data storage and retrieval. Collaboration: Work closely with stakeholders, including business analysts, developers, and operations teams, to ensure data solutions meet business needs. Framework Utilization: Prioritize the use of out-of-the-box framework features over custom solutions to enhance efficiency and maintainability. Required Qualifications: Minimum 7 years of experience in data architecture and database management. Specialist in Azure data services with proven experience in transforming legacy systems to Azure Graph DB. Extensive experience with data migration strategies and tools. Proficient in data modeling and database design, specifically for graph databases. Experience with Azure Cosmos DB (Graph API) and other graph database technologies. Excellent communication skills and a strong team player. Proven experience in mentoring and leading data architecture teams. Technical Skills: Azure Cosmos DB (Graph API) Data Modeling for Graph Databases Data Migration Tools and Strategies Scripting (PowerShell, Bash, Python) Good to Have Skills: Knowledge of data governance and security best practices Knowledge of Virtuoso Graph Database & SPARQL Protocol and RDF Query Language.

As a Principal Architect - Data & Cloud at Quantiphi, you will bring your 14-20 years of experience in Technical, Solutioning, and Analytical roles to lead the way in architecting, designing, and implementing end-to-end data pipelines and data integration solutions for structured and unstructured data sources and targets. With a focus on Cloud platforms such as GCP, AWS, and Azure, you will be responsible for building and managing Data Lakes, Data Warehouse, Data Integration, Data Migration, and Business Intelligence/Artificial Intelligence solutions. Your role will involve understanding business requirements and translating them into functional and non-functional areas, defining boundaries in terms of Availability, Scalability, Performance, Security, and Resilience. You will leverage your expertise in various Data Integration and ETL technologies on Cloud, including Spark, Pyspark/Scala, Dataflow, DataProc, and more. Additionally, you will have the opportunity to work with traditional ETL tools like Informatica, DataStage, OWB, Talend, and others. Your deep knowledge of Cloud and On-Premise Databases such as Cloud SQL, Cloud Spanner, Big Table, RDS, Aurora, and others will be instrumental in architecting scalable data warehouse solutions on Cloud platforms like Big Query or Redshift. Moreover, your exposure to No-SQL databases and experience with data integration, storage, and data pipeline tool sets will be crucial in designing optimized data analytics solutions. Being a thought leader in architecture design and development of cloud data analytics solutions, you will collaborate with internal and external stakeholders to present solutions, support sales teams in building proposals, and lead discovery workshops with potential customers globally. Your role will also involve mentoring young talent, contributing to building Assets and Accelerators, and ensuring the successful delivery of projects on parameters of Schedule, Quality, and Customer Satisfaction. The position offers the experience of working in a high-growth startup in the AI, Decision Science, and Big Data Domain, along with the opportunity to be part of a diverse and proactive team that constantly raises the bar in translating data into tangible business value for clients. Additionally, flexible remote working options are available to foster productivity and work-life balance. If you are passionate about innovation, excellence, and growth, and enjoy working with a dynamic team of tech enthusiasts, Quantiphi is the place for you to shape your career in Data & Cloud architecture. Join us on our journey of digital transformation and be a part of creating impactful solutions that drive business success.,

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of yourself. We are counting on your unique voice and perspective to help EY become even better. Join us and build an exceptional experience for yourself and contribute to creating a better working world for all. As an EY-Consulting AI Enabled Automation - GenAI/Agentic Manager, we are seeking individuals with strong AI Enabled Automation skills who are passionate about applying AI in the process automation space, including Azure, AI, ML, Deep Learning, NLP, GenAI, large Lang Models (LLM), RAG, Vector DB, Graph DB, and Python. Responsibilities: - Develop and implement AI-enabled automation solutions aligned with business objectives. - Design and deploy Proof of Concepts (POCs) and Points of View (POVs) across various industry verticals to showcase the potential of AI-enabled automation applications. - Ensure seamless integration of optimized solutions into the overall product or system. - Collaborate with cross-functional teams to understand requirements, integrate solutions into cloud environments (Azure, GCP, AWS), and align with business goals and user needs. - Educate the team on best practices and stay updated on the latest tech advancements to bring innovative solutions to the project. Technical Skills Requirements: - 9 to 13 years of relevant professional experience, proficiency in Python, and frameworks like PyTorch, TensorFlow, Hugging Face Transformers. - Strong foundation in ML algorithms, feature engineering, and model evaluation. - Proficiency in Deep Learning, Neural Networks, RNNs, CNNs, LSTMs, Transformers (BERT, GPT), and NLP. - Experience in GenAI technologies, LLMs (GPT, Claude, LLaMA), prompting, fine-tuning. - Knowledge of retrieval augmented generation (RAG) and Knowledge Graph RAG. - Experience with multi-agent orchestration, memory, and tool integrations. - Experience implementing MLOps practices and tools (CI/CD for ML, containerization, orchestration, model versioning, and reproducibility). - Experience with cloud platforms (AWS, Azure, GCP) for scalable ML model deployment. - Strong understanding of data pipelines, APIs, and distributed systems. - Ability to build observability into AI systems latency, drift, performance metrics. - Strong communication, presentation, client service, and technical writing skills in English for both technical and business audiences. - Strong analytical, problem-solving, and critical thinking skills. - Ability to work under tight timelines for multiple project deliveries. What We Offer: At EY GDS, we support you in achieving your unique potential both personally and professionally. We provide stretching and rewarding experiences that keep you motivated, working in an atmosphere of integrity and teaming with some of the world's most successful companies. While we encourage you to take personal responsibility for your career, we support your professional development in every way possible. You have the flexibility to devote time to what matters to you, in both your business and personal lives. At EY, you can be yourself, express your point of view, energy, and enthusiasm, no matter where you are in the world. This is how you can make a difference. EY | Building a better working world: EY exists to build a better working world, helping to create long-term value for clients, people, and society, and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform, and operate. Working across assurance, consulting, law, strategy, tax, and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.,

As a Test Engineer, you will be responsible for supporting the AI & Data science teams in testing their AI/ML flows. You will analyze system specifications, develop detailed test plans and test cases, execute test cases, and identify defects. Your role includes documenting and reporting defects to the development team, collaborating with them to resolve issues, and ensuring that the software meets quality standards and best practices. Participation in review meetings to provide feedback is also part of your responsibilities. It is essential to have excellent knowledge of SDLC and STLC, along with expertise in Agile methodology. Your technical skills should include a strong understanding of Testing framework & automation concepts, as well as proficiency in Pandas, Python, Pytest, SQL, SparkSQL, Pyspark, and testing LLMs such as GPT, LLAMA, Gemma. Additionally, good database skills in any relational DB, hands-on experience with the Databricks Platform, and the ability to comprehend models and write Python scripts to test data inflow and outflow are required. You should also be proficient in Programming and Query Language, with knowledge of Cloud platforms, preferably Azure fundamentals and Azure analytics services. Writing test scripts from designs and expertise in Jira, Excel, and Confluence are important technical skills. In terms of soft skills, excellent verbal and written communication skills in English are necessary. You should be able to work both independently and as part of a team, demonstrating strong project leadership and communication skills, including customer-facing interactions. It would be beneficial to have skills in API testing, Test automation, Azure AI services, and any vector dB/Graph dB. Familiarity with ML NLP algorithms, entity mining & clustering, and sentiment analysis is also considered advantageous for this role.,

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. We are looking to hire individuals with strong AI Enabled Automation skills who are interested in applying AI in the process automation space using technologies such as Azure, AI, ML, Deep Learning, NLP, GenAI, large Lang Models (LLM), RAG, Vector DB, Graph DB, and Python. Responsibilities: - Development and implementation of AI enabled automation solutions, ensuring alignment with business objectives. - Design and deploy Proof of Concepts (POCs) and Points of View (POVs) across various industry verticals to demonstrate the potential of AI enabled automation applications. - Ensure seamless integration of optimized solutions into the overall product or system. - Collaborate with cross-functional teams to understand requirements, integrate solutions into cloud environments (Azure, GCP, AWS, etc.), and ensure alignment with business goals and user needs. - Educate the team on best practices and keep updated on the latest tech advancements to bring innovative solutions to the project. Technical Skills Requirements: - 9 to 13 years of relevant professional experience. - Proficiency in Python and frameworks like PyTorch, TensorFlow, Hugging Face Transformers. - Strong foundation in ML algorithms, feature engineering, and model evaluation (Must). - Strong foundation in Deep Learning, Neural Networks, RNNs, CNNs, LSTMs, Transformers (BERT, GPT), and NLP (Must). - Experience in GenAI technologies such as LLMs (GPT, Claude, LLaMA), prompting, fine-tuning. - Experience with LangChain, LlamaIndex, LangGraph, AutoGen, or CrewAI (Agentic Framework). - Knowledge of retrieval augmented generation (RAG) and Knowledge Graph RAG. - Experience with multi-agent orchestration, memory, and tool integrations. - Experience/implement MLOps practices and tools (CI/CD for ML, containerization, orchestration, model versioning, and reproducibility) Good to have. - Experience with cloud platforms (AWS, Azure, GCP) for scalable ML model deployment. - Good understanding of data pipelines, APIs, and distributed systems. - Build observability into AI systems latency, drift, performance metrics. - Strong written and verbal communication, presentation, client service, and technical writing skills in English for both technical and business audiences. - Strong analytical, problem-solving, and critical thinking skills. - Ability to work under tight timelines for multiple project deliveries. What we offer: At EY GDS, we support you in achieving your unique potential both personally and professionally. We give you stretching and rewarding experiences that keep you motivated, working in an atmosphere of integrity and teaming with some of the world's most successful companies. While we encourage you to take personal responsibility for your career, we support you in your professional development in every way we can. You enjoy the flexibility to devote time to what matters to you, in your business and personal lives. At EY, you can be who you are and express your point of view, energy, and enthusiasm, wherever you are in the world. It's how you make a difference. EY | Building a better working world: EY exists to build a better working world, helping to create long-term value for clients, people, and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform, and operate. Working across assurance, consulting, law, strategy, tax, and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.,

As a Full Stack Engineer at Cisco Spaces, you will be joining a dynamic team focused on revolutionizing the way businesses interact with physical spaces through the innovative cloud platform. Our core values of "care deeply," "everybody in," "simplify everything," and "be brave" drive us towards impactful outcomes and a more inclusive future. Your responsibilities will include designing, developing, and maintaining both front-end and back-end components of web and backend applications. You will: - Backend Development: Develop and maintain backend services using Java, Kotlin, Vert.x, and RESTful APIs to build high performant, scalable, and distributed systems. - Frontend Development: Create interactive web applications using React.js, Redux, TypeScript, and modern UI libraries. - Database Management: Design and optimize relational and NoSQL databases like Graph DB, PostgreSQL, MongoDB. - Microservices & Cloud: Build and deploy microservices on AWS, with experience in containerization (Docker, Kubernetes, EKS). - API Development & Integration: Implement RESTful APIs for seamless integration with frontend applications. - Testing & Code Quality: Write unit and integration tests for both frontend and backend components. - Collaborate in a highly collaborative environment with cross-functional teams including product managers, UI/UX experts, and software and hardware engineers. Qualifications: - Bachelor's degree in Engineering/Computer Science. - 4+ years of experience in Java, Kafka, Kotlin, Node.js, JavaScript, and ReactJS. - Experience with large-scale cloud applications (AWS) and familiarity with various AWS services. - Proven experience in design and implementation using Java, streaming technologies (preferably Kafka), REST APIs, and Web Applications. - Proficiency in tools like Maven, Gradle, Jenkins, and Git. - Familiarity with microservices architecture and distributed systems. Preferred Qualifications: - Experience with streaming technologies like Kafka for real-time applications. - Knowledge of GraphQL. - Experience in EKS & CDN. If you are passionate about creating innovative solutions and contributing to a collaborative team environment, we would love to hear from you. Cisco Meraki values diversity, inclusion, and collaboration to inspire innovation and unleash the full potential of our people. Join us in building an employee experience focused on appreciation, belonging, growth, and purpose for everyone.,

Key Responsibility Areas - Architect, Design and Develop solutions to support business requirements. Use skill sets to Analyze and manage a variety of database environments such as Oracle, Postgres, Cassandra, MySQL, Graph DB, etc. Provide optimal design of database environments, analyzing complex distributed production deployments, and making recommendations to optimize performance. Work closely with programming teams to deliver high quality software. Provide innovative solutions to complex business and technology problems. Propose best solution in Logical and Physical Data Modelling. Perform Administration tasks including DB resource planning and DB tuning. Mentor and train junior developers, lead & manage teams. Skill Sets / Requirements - Experience of designing/architect database solutions Experience with multiple RDBMS and NoSql databases of TB data size preferably Oracle, PostgreSQL, Cassandra and Graph DB Must be well versed in PL/SQL & PostgreSQL and Strong Query Optimization skills. Expert knowledge in DB installation, configuration, replication, upgradation, security and HADR set up. Experience in database deployment, performance and / troubleshooting issues. Knowledge of scripting languages (such and Unix, shell, PHP). Advanced knowledge of PostgreSQL will be preferred. Experience working with Cloud Platforms and Services Experience with migrating database environments from one platform to another Ability to work well under pressure Experience with big data technologies and DWH is a plus

Experience in Data Engineering and Ontology Expert in Data modelling, high level architecture designs and concepts with 2-7 years of experience Strong Python programming skills Good experience in ETL (Extract, Transform, Load) operations using Python and loading to graph DB Expert in converting data into RDF Expert in understanding of triple store database concepts and implementation in Graph DB (like Blazegraph) Supports new developments in Digitalization which are based on 3D, 4D and 5D data Expert in converting data from different formats like xml, excel etc into RDF (Resource Description Framework) Expert in various relational databases and NoSQL databases like MongoDB, semantics, triple stores etc Hands on working experience in Semantic Web standards from W3C: RDF, RDFS, OWL, SPARQL etc Large scale data visualizations on the lines of d3js, Graphviz Advance Level knowledge on data integration and complex data workflows Mandatory Skills: RDF, RDFS, OWL, SPARQL, Data Modeling Minimum 1 year of relevant (only hands on experience is countable, not just knowledge or awareness) experience on above mandatory technology stack Total experience should be about 2-7 years of experience

At EY, youll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And were counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY-Consulting AI Enabled Automation Developer Staff -Python We are looking to hire people with strong AI Enabled Automation skills and who are interested in learning new technologies in the process automation space Azure . GenAI , large Lang Models(LLM). RAG ,Vector DB , Graph DB ,Python At EY, youll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And were counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Responsibilities Development and implementation of AI enabled automation solutions, ensuring alignment with business objectives. Design and deploy Proof of Concepts (POCs) and Points of View (POVs) across various industry verticals, demonstrating the potential of AI enabled automation applications. Ensure seamless integration of optimized solutions into the overall product or system Collaborate with cross-functional teams to understand requirements, to integrate solutions into cloud environments (Azure, GCP, AWS, etc.) and ensure it aligns with business goals and user needs Educate team on best practices and keep updated on the latest tech advancements to bring innovative solutions to the project Requirements 2 to 3 years of relevant professional experience Expertise in Python programming including experience with Al/machine learning frameworks like TensorFlow, PyTorch, Keras, Langchain, MLflow, Promtflow(Good to have) 1-2 years of working knowledge of NLP and LLMs like BERT, GPT-3/4, T5, etc. Knowledge of how these models work and how to fine-tune them Expertise in prompt engineering principles and techniques like chain of thought, in-context learning, tree of thought, etc. Knowledge of retrieval augmented generation (RAG) Knowledge of Knowledge Graph RAG Strong analytical and problem-solving skills with the ability to think critically and troubleshoot issues Excellent communication skills, both verbal and written in English What we look for A Team of people with commercial acumen, technical experience and enthusiasm to learn new things in this fast-moving environment An opportunity to be a part of market-leading, multi-disciplinary team of 1400 + professionals, in the only integrated global transaction business worldwide. Opportunities to work with EY Advisory practices globally with leading businesses across a range of industries What working at EY offers At EY, were dedicated to helping our clients, from startups to Fortune 500 companies and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way thats right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.,

We are looking for a Senior Java Microservices Developer to design and develop enterprise-scale, cloud-native applications. The ideal candidate will have deep experience in Core Java (Java 17), Spring ecosystem, CI/CD, cloud computing, container orchestration, and stream processing with tools like Kafka and WebFlux. You should be able to work in Agile teams and demonstrate strong problem-solving and integration skills. Key Responsibilities: Design, develop, and deploy robust microservices using Java 17 , Spring Boot , and Spring WebFlux . Build cloud-ready applications with containerization using Kubernetes and CI/CD automation. Implement secure services using Spring Security , and manage persistence with Spring Data . Work with stream processing tools and platforms like Apache Kafka . Integrate data storage layers using MongoDB , Apache Solr , NoSQL , and RDBMS technologies. Optimize performance, scalability, and security of distributed applications. Contribute to system design, architectural decisions, and code reviews. Collaborate closely with DevOps, QA, and product teams in Agile/Scrum environments.

We are looking for a Senior Java Microservices Developer to design and develop enterprise-scale, cloud-native applications. The ideal candidate will have deep experience in Core Java (Java 17), Spring ecosystem, CI/CD, cloud computing, container orchestration, and stream processing with tools like Kafka and WebFlux. You should be able to work in Agile teams and demonstrate strong problem-solving and integration skills. Key Responsibilities: Design, develop, and deploy robust microservices using Java 17 , Spring Boot , and Spring WebFlux . Build cloud-ready applications with containerization using Kubernetes and CI/CD automation. Implement secure services using Spring Security , and manage persistence with Spring Data . Work with stream processing tools and platforms like Apache Kafka . Integrate data storage layers using MongoDB , Apache Solr , NoSQL , and RDBMS technologies. Optimize performance, scalability, and security of distributed applications. Contribute to system design, architectural decisions, and code reviews. Collaborate closely with DevOps, QA, and product teams in Agile/Scrum environments.

Job Title / Designation : Database Manager Location : Noida Job Summary: The role involves designing and developing solutions to support the business needs. Optimizing and tuning existing programs and developing new routines will be an integral part of the profile. Key Responsibility Areas: • Architect, Design and Develop solutions to support business requirements. • Use skill sets to Analyze and manage a variety of database environments such as Oracle, Postgres, Cassandra, MySql, Graph DB, etc • Provide optimal design of database environments, analysing complex distributed production deployments, and making recommendations to optimize performance. • Work closely with programming teams to deliver high quality software. • Provide innovative solutions to complex business and technology problems. • Propose best solution in Logical and Physical Data Modelling. • Perform Administration tasks including DB resource planning and DB tuning. • Mentor and train junior developers, lead & manage teams. Qualification: B.Tech. Experience: 10+ years of experience in a Data Engineering role. Bachelor's degree in Computer Science or related experience. Skill Sets / Requirements: • Experience of designing/architect database solutions • Experience with multiple RDBMS and NoSql databases of TB data size preferably Oracle, PostgreSQL, Cassandra and Graph DB. • Must be well versed in PL/SQL & PostgreSQL and Strong Query Optimization skills. • Expert knowledge in DB installation, configuration, replication, upgradation, security and HADR set up. • Experience in database deployment, performance and / troubleshooting issues. • Knowledge of scripting languages (such and Unix, shell, PHP). • Advanced knowledge of PostgreSQL will be preferred. • Experience working with Cloud Platforms and Services • Experience with migrating database environments from one platform to another • Ability to work well under pressure • Experience with big data technologies and DWH is a plus

Client is looking for a strong Java candidate with the following skills. Spring Webflux and streaming knowledge is a must and key thing that they are looking for. Here is the overall JD for the position. RDBMS No At least 1 year Is Required CI/CD 2-5 Years Is Required Cloud Computing 2-5 Years Is Required Core Java 5-10 Years Is Required Kubernetes -2-5 Years Is Required microservices - 2-5 Years Is Required MongoDB - At least 1 year Nice To Have NoSQL -At least 1 year Nice To Have python - At least 1 year Is Required Spring Boot - 5-10 Years Is Required Spring Data - 2-5 Years Is Required Spring Security - 2-5 Years Is Required Spring Webflux - At least 1 year Is Required Stream processing - At least 1 year Is Required Java 17 - 2-5 Years Is Required Apache Kafka - At least 1 year Is Required Apache SOLR - At least 1 year Is Required Expertise with solution design and enterprise large scale applications development In-depth knowledge of integration patterns, integration technologies and integration platforms Experience with Queuing related technologies like Kafka Good hands-on experience to design and build cloud ready application Good programming skills in Java, Python etc Proficiency of dev/build tools: git, maven, gradle Experience with the modern NoSQL/Graph DB/Data Streaming technologies is a plus Good understanding of Agile software development methodology Location: hyd,mangalore.bubaneshawr,trivendrum

Title: Data Modelers Location: Chennai/ HYD Duration: Contract Experience : 4+ Years Good understanding of the Hadoop Ecosystem, Spark, and Cloudera. Should worked on NoSQL databases like Mongo DB, Document DB, and Graph Databases. Must have experience in building data pipeline for real time streaming data and data analytics using azure cloud components like Azure Data Factory, Graph DB, Azure ML studio, Azure stream analytics. Good understanding of Data Architect with experience in architecture, application design, and systems engineering, while implementing automation and agile methodologies. Skilled in collaborating with business stakeholders to align data pipelines with business requirements, design data models, and optimize queries. Practical understanding of Data Modelling (Dimensional & Relational). Experience working with Azure and AWS cloud services. Design and installation of data processing pipelines and migration of existing Data warehouse systems. Understanding of working with CI/CD using tools like Jenkins, GitHub, or Azure DevOps. Designed and developed the Asset Management Knowledge Graph. Re-designed some parts of our legacy application to make it cloud-ready. Develop template loaders for Enterprise Asset Management. Implement data import jobs to ingest large volume of data into our application from multiple sources. Skills: Tools: MongoDB, IBM DB2, Hashicorp Vault, Amazon S3, New Relic, Docker, Airflow, Neo4j Programming Languages /Frameworks: Java, Spring Boot, JavaScript, ReactJS