SOLR & Fusion - NYC, NY - Onsite

Job Title: SOLR and FUSION, Linux (Scripting), Python

Location: NYC, NY

Duration: 12 months

Mode of Interview: In person Interview

Key Responsibilities:

Key Skills: SOLR and FUSION, Linux (Scripting), Python.

In this role, you will be responsible for coding and delivering high quality deliverables and should be willing to learn about new technologies.

Responsibilities

• Design, develop, and implement enterprise search solutions using Fusion and SOLR.
• Tune search relevancy and query pipelines to ensure fast and accurate search results.
• Create automated processes for bulk and real-time indexing of large datasets from various sources like databases, Hadoop, and flat files into Solr.
• Design, create, and manage Solr clusters, including shards and collections.
• Identify, research, and resolve complex issues related to Solr, Fusion, and related technologies.
• Work with DevOps/SRE/IT teams to troubleshoot logging issues and build observability into CI/CD pipelines.

Linux & Scripting

• Develop and maintain Linux shell scripts for automation of deployments, monitoring, and maintenance tasks.
• Set up, configure, and maintain Linux-based environments for Elasticsearch and related applications.
• Troubleshoot and resolve server performance, disk, and memory issues related to Elasticsearch.

Minimum Qualifications

• BE/B Tech/MCA
• Excellent written and verbal communication skills.
• Experience in Finance Domain

Preferred Qualifications/ Skills

• Hands-on experience with SOLR and fusion
• Solid understanding of Elasticsearch architecture, shard management, query DSL, and cluster tuning.
• Experience with Spark for advanced data processing, analytics, and managing Fusion's ML features.
• Experience with Extract, Transform, Load processes and data pipeline tools.
• SOLR schema design, faceting, filtering, and query parsing.
• Configuration and management of Solr collections, including Solr Cloud.
• Experience with Linux environments and command-line scripting (Bash, Shell, Python).
• Experience with CI/CD tools (Jenkins, GitLab CI) and infrastructure-as-code (Terraform, Ansible).
• Excellent problem-solving skills and ability to work in a team-oriented environment.