53 Mongo Db Jobs - Page 3

Strong experience min 8 years in Oracle, Maria DB, Mongo DB, PostgreSQL and any other additional Database. Manage, maintain, and optimize Oracle databases (including versions 11g onwards up to 19c). Migrating data to SQL AND NOSQL DATABASES. Good to have knowledge in Administration, configuration, deployment, management, architecture, security of NOSQL Databases like REDIS, KEYDB, COUCH DATABASE. Install, configure, and upgrade Oracle database software, patches, and tools. Knowledge of regular database backups and implement robust disaster recovery solutions. Monitor database performance and take necessary actions to improve performance and scalability. Provide expert support in database troubleshooting, performance tuning, and query optimization. Implement and maintain database security policies, user access management, and auditing. Ensure compliance with internal security policies and external regulations. Tune database queries, optimize SQL performance, and improve indexing strategies. Monitor database resource usage and implement measures for optimal performance. Implement, Manage, maintain, and ensure high availability and manage Oracle Real Application Clusters (RAC). Implement, Manage, maintain, and ensure high availability and manage Oracle Data Guard, Oracle Golden Gate. Work closely with development teams to optimize database queries, applications, and configurations. Provide support to application teams for database-related issues and troubleshooting. Create and maintain documentation related to database architecture, standards, and procedures. Work on database consolidation and cloud database migration as required. Develop and maintain shell scripts and PL/SQL procedures for automation of database tasks. Lead database-related projects and ensure timely delivery of deliverables. Provide regular reports on database performance, health, and capacity. Required Qualifications: Education: Bachelors or Masters degree in Computer Science, Information Technology, or related field. Experience: Minimum of 8 years of hands-on experience as an DBA. Understanding of cloud databases (AWS RDS, Oracle Cloud, etc.) is a plus. Oracle Certified Professional (OCP) or Oracle Certified Master (OCM) certification. Mandatory Certified (Any one) 1) MONGODB/REDIS/CouchDB Certification from MONGODB University/REDIS University/ CouchBase 2) MARIADB or MYSQL Certification from OEM Soft Skills: Excellent problem-solving and troubleshooting skills. Strong communication skills to interact with various teams and stakeholders. Ability to work under pressure and manage multiple tasks in a fast-paced environment. Strong attention to detail and organizational skills. Knowledge of ITIL practices and database management best practices.

What you will do Lets do this. Lets change the world. In this vital role We are seeking a strategic and hands-on Specialist Software Engineer / AI Engineer Search to lead the design, development, and deployment of AI-powered search and knowledge discovery solutions across our pharmaceutical enterprise. In this role, you'll manage a team of engineers and work closely with data scientists, oncologists, and domain experts to build intelligent systems that help users across R&D, medical, and commercial functions find relevant, actionable information quickly and accurately. Architect and lead the development of scalable, intelligent search systems leveraging NLP, embeddings, LLMs, and vector search Own the end-to-end lifecycle of search solutions, from ingestion and indexing to ranking, relevancy tuning, and UI integration Build systems that surface scientific literature, clinical trial data, regulatory content, and real-world evidence using semantic and contextual search Integrate AI models that improve search precision, query understanding, and result summarization (e.g., generative answers via LLMs). Partner with platform teams to deploy search solutions on scalable infrastructure (e.g., Kubernetes, cloud-native services, Databricks, Snowflake). Experience in Generative AI on Search Engines Experience in integrating Generative AI capabilities and Vision Models to enrich content quality and user engagement. Building and owning the next generation of content knowledge platforms and other algorithms/systems that create high quality and unique experiences. Designing and implementing advanced AI Models for entity matching, data duplication. Experience Generative AI tasks such as content summarization. deduping and metadata quality. Researching and developing advanced AI algorithms, including Vision Models for visual content analysis. Implementing KPI measurement frameworks to evaluate the quality and performance of delivered models, including those utilizing Generative AI. Developing and maintaining Deep Learning models for data quality checks, visual similarity scoring, and content tagging. Continually researching current and emerging technologies and proposing changes where needed. Implement GenAI solutions, utilize ML infrastructure, and contribute to data preparation, optimization, and performance enhancements. Manage and mentor a cross-functional engineering team focused on AI, ML, and search infrastructure. Foster a collaborative, high-performance engineering culture with a focus on innovation and delivery. Work with domain experts, data stewards, oncologists, and product managers to align search capabilities with business and scientific need Basic Qualifications: Degree in computer science & engineering preferred with 9-12 years of software development experience Proficient in Spark, Kafka, Snowflake, Delta Lake, Hadoop, databricks, Mongo DB, S3 Buckets, ELT& ETL, API Integrations, Java Proven experience building search systems with technologies like Elasticsearch, Solr, OpenSearch, or vector DBs (e.g., Pinecone, FAISS). Hands-on experience with various AI models, GCP Search Engines, GCP Cloud services Strong understanding of NLP, embeddings, transformers, and LLM-based search applications Proficient in programming language AI/ML, Python, GraphQL, Java Crawlers, Java Script, SQL/NoSQL, Databricks/RDS, Data engineering, S3 Buckets, dynamo DB Strong problem solving, analytical skills; Ability to learn quickly; Excellent communication and interpersonal skills Experience deploying ML services and search infrastructure in cloud environments (AWS, Azure, or GCP) Preferred Qualifications: Experience in AI/ML, Java, Rest API, Python React, GraphQL, NLMS, Full stack applications, Solr Search Experienced with Fast Pythons API Experience with design patterns, data structures, data modelling, data algorithms Knowledge of ontologies and taxonomies such as MeSH, SNOMED CT, UMLS, or MedDRA. Familiarity with MLOps, CI/CD for ML, and monitoring of AI models in production. Experienced with AWS /Azure Platform, building and deploying the code Experience in PostgreSQL /Mongo DB SQL database, vector database for large language models, Databricks or RDS, S3 Buckets Experience in Google cloud Search and Google cloud Storage Experience with popular large language models Experience with LangChain or LlamaIndex framework for language models Experience with prompt engineering, model fine tuning Knowledge of NLP techniques for text analysis and sentiment analysis Experience with generative AI or retrieval-augmented generation (RAG) frameworks in pharma/biotech setting Experience in Agile software development methodologies Experience in End-to-End testing as part of Test-Driven Development Good to Have Skills Willingness to work on Full stack Applications Experience working with biomedical or scientific data (e.g., PubMed, clinical trial registries, internal regulatory databases) Soft Skills: Excellent analytical and troubleshooting skills. Strong verbal and written communication skills. Ability to work effectively with global, remote teams. High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented, with a focus on achieving team goals. Strong presentation and public speaking skills.

Sound experience in developing Python applications using Fast API or Flask. (Fast API is preferrable). Proficient in OOPs, Design patterns and functional programming. Hand on experinece with MySql or MongoDB and can manage the complex queries. Good experince of GIT versioning tool. Should have worked with server less architecture and RESTful systems. Experience of API development in Python Hands on experience in AWS services: Lambda, SQS, S3, ECS etc. Experience in using Python Classes using inheritance, overloading and polymorphism Experience in building Serverless applications in AWS using API Gateway and Lambda Experience in Insurance projects is preferable. Note: We are not looking candidate from ML(Machine learning) & Data Science domain. This opening is only for Web/API development in Python and its frameworks. Candidates from Delhi NCR should only apply and also who are immediate joiners or can join within 15days.