- Design and architect enterprise search solutions that meet business needs, utilizing Lucene based search technologies such as Elasticsearch and Apache Solr.
- Work with business stakeholders to understand their search requirements and translate them into technical requirements for enterprise search solutions.
- Develop user journey maps that capture various touchpoints and interaction user have with search solution.
- Strong experience in Design and architect end to end Enterprise search solution
- Experienced in creating ingestion pipelines from multiple data sources like JIRA, Confluence, SharePoint, Gitlab, ftp servers, websites crawling etc.
- Design solution for Near real time search, Batch data ingestion and data crawling
- Define and implement ETL layer to enrich data.
- Define and implement search relevancy strategies to optimize search results for business needs.
- Develop and implement search user interfaces, including search forms, facets, and filters.
- Participate in search solution testing and tuning, including performance optimization and load testing.
- Minimum of 5 years of experience in designing and implementing enterprise search solutions.
- Total relevant experience approx. 10 years.
- Strong experience with JAVA, Python, microservices
- Strong experience with search technologies such as Elasticsearch, Solr, and/or Microsoft Search.
- Solid understanding of search relevancy, indexing, and search algorithms
- Understanding of keyword search, fuzzy search and vector search.
- Strong experience with search UI design and development.
- Experience with integrating search solutions with search client applications
- Experience with integrating search solutions with data sources, CMS systems etc.
- Excellent written and verbal communication skills.
- Strong problem-solving and analytical skills.
- Ability to work collaboratively in a team environment.
- Experience with search solutions/products like Lucidworks, Coveo etc.
- Experience with tools like Apache Tikka ,Kafka and ETL tools like Informatica.
- Experience in e-commerce search websites solutions.
- Experience with cloud-based search solutions, such as Amazon OpenSearch or Azure Cognitive Search.
- Experience with natural language processing (NLP) and machine learning (ML) technologies for search.
- Experience with search analytics and reporting tools
- Experience with A/B Testing of enterprise search solution
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Beschreibung
Role:
Elastic search expert Mode: Remote working within Germany
Type:
TP Contract
Duration: 6 months and extendable
Salary:
Open to discuss
Job Description
Responsibilities –
Requirements :
Preferred :
