
Data Infrastructure Engineer
2 days ago
We are seeking a skilled Data Infrastructure Specialist with extensive hands-on experience in managing distributed search systems, including AWS OpenSearch or Elasticsearch clusters, in-memory databases (e.g., Redis, Memcached), and graph databases (e.g., Neo4j). The ideal candidate will have a deep understanding of data and index shard management, schema planning, and data modelling for high-availability and performance.
Key Responsibilities:
- Manage and optimize distributed search systems for high availability and performance.
- Design schemas and data models for efficient query performance.
- Tune query performance and indexing strategies to meet SLAs for critical production systems.
- Automate deployment, scaling, and monitoring using DevOps tools.
- Troubleshoot and resolve issues in real-time for revenue-impacting systems.
Requirements and Skills:
Education: B-Tech / MCA
Experience: Overall 5 - 10 Years
- 5+ years managing distributed search systems in production.
- 2+ years managing in-memory databases or graph databases.
- Proven track record with critical production systems impacting revenue.
- Expertise in data and index shard management, caching strategies, and node-relationship modelling.
Technical Skills:
- Proficient in AWS services (e.g., OpenSearch Service, EC2).
- Advanced knowledge of Elasticsearch/OpenSearch APIs and optimization.
- Experience with in-memory databases (e.g., Redis, Memcached) or graph databases (e.g., Neo4j Cypher).
- Skilled in DevOps tools: Terraform, Ansible, Jenkins, GitLab CI, GitHub Actions, Docker, Kubernetes, Prometheus, Grafana, ELK Stack.
Soft Skills:
- Strong problem-solving and analytical skills for distributed systems.
- Quick learner, adaptable to new tools and processes.
- Excellent communication and collaboration skills.
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