| Lead Enterprise Search Integration Architect/Immediate interview at Enterprise, Utah, USA |
| Email: [email protected] |
| Hi Folks, Hope you are doing well. This is #Varun. We have an immediate opportunity with one of our clients. Please find the job descriptions below, and if you are interested, please forward your updated resume to #[email protected] Role: Lead Enterprise Search Integration Architect Location: 3 Bryant Park, NYC-Hybrid (Preferred locals) Duration: Long Term Must have 15+ years of experience We are looking for a highly experienced Senior Engineer to lead the integration of a new enterprise search platform, enabling seamless data exchange and optimized search functionality across our systems. As a Senior Engineer, you will play a key role in integrating and optimizing our new enterprise search product. You will work with both internal teams and the vendor's platform to develop robust APIs, streamline data flow, and ensure high-performance search functionality that supports our business goals. This role requires deep expertise in API development, enterprise data architecture, and a strong understanding of search technologies. Required Skills: Bachelors or masters degree in computer science, Software Engineering, or a related field. 15+ years of experience in software engineering, with a focus on data integration, API development, or enterprise search solutions. Proven experience integrating enterprise software products, ideally with a focus on search platforms (e.g., Elasticsearch, Glean, Coveo, or Lucidworks). Technical Skills: Programming: Proficiency in backend development languages, such as Python, Java, or Node.js, with a strong focus on RESTful API development. Data Management: Expertise in handling data structures, transformation, and integration, including experience with SQL and NoSQL databases. Search and Indexing Technologies: Familiarity with enterprise search technologies and data indexing processes. Cloud Platforms: Experience with cloud environments (AWS, GCP, or Azure) for scalable data processing. Security: Knowledge of API security, including OAuth, SSO, and data encryption best practices. Soft Skills: Strong analytical skills with attention to detail in troubleshooting and problem-solving. Excellent communication and documentation skills for both technical and non-technical audiences. Ability to lead technical projects and mentor junior engineers in integration best practices. Preferred Qualifications: Experience working directly with enterprise search vendors for custom API integrations. Familiarity with event-driven architectures and message queue systems (e.g., Kafka, RabbitMQ). Knowledge of search relevance tuning, user intent detection, or semantic search capabilities -- Keywords: javascript information technology Lead Enterprise Search Integration Architect/Immediate interview [email protected] |
| [email protected] View all |
| Fri Nov 08 01:04:00 UTC 2024 |