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Database Administrator

Database Administrator

hirist.com - IT JobsNoida
16 days ago
Job description

Role : Database Reliability Engineering

Position Overview :

We are seeking a highly skilled Database Administrator (DBA) with extensive hands-on experience in managing AWS OpenSearch or Elasticsearch clusters, as well as expertise in in-memory databases (e.g., Redis, Memcached) or 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 distributed search, in-memory, and graph-based systems.

Additionally, the candidate must be proficient in DevOps tools and have experience managing critical production systems that directly impact revenue.

The role requires a proactive learner capable of adapting quickly to new technologies in a fast-paced environment.

Key Responsibilities :

  • Manage and optimize AWS OpenSearch / Elasticsearch, in-memory (e.g., Redis, Memcached), and graph database (e.g., Neo4j) clusters for high availability and performance.
  • Optimize data distribution, sharding, caching, and graph traversals for efficient query performance.
  • Design schemas and data models for search, caching, and graph-based use cases.
  • Tune query performance and indexing strategies to meet SLAs for critical production systems.
  • Automate deployment, scaling, and monitoring using DevOps tools (e.g., Terraform, Ansible, Docker, Kubernetes).
  • Troubleshoot and resolve issues in real-time for revenue-impacting systems.
  • Implement monitoring and alerting (e.g., CloudWatch, Prometheus) to detect performance issues.
  • Ensure security and compliance with encryption and access controls (IAM, VPC).
  • Collaborate with development and DevOps teams for application integration.
  • Stay updated on advancements in relevant database technologies.

Requirements and Skills :

Education : B-Tech / MCA.

Experience : Overall 5 - 10 Years.

  • 5+ years managing AWS OpenSearch or Elasticsearch in production.
  • 2+ years managing in-memory databases (e.g., Redis, Memcached) or graph databases (e.g., Neo4j).
  • Proven track record with critical production systems impacting revenue.
  • Expertise in data and index shard management, caching strategies, and node-relationship modelling.
  • Strong experience in schema design and data modelling for search, caching, and graph use cases.
  • Technical Skills :

  • Proficient in AWS services (e.g., OpenSearch Service, EC2, ElastiCache, CloudWatch).
  • Advanced knowledge of Elasticsearch / OpenSearch APIs, query DSL, and optimization.
  • Experience with in-memory databases (e.g., Redis, Memcached) or graph databases (e.g., Neo4j Cypher).
  • Skilled in DevOps tools :

  • IaC : Terraform, CloudFormation.
  • Configuration : Ansible, Chef, Puppet.
  • CI / CD : Jenkins, GitLab CI, GitHub Actions.
  • Containerization : Docker, Kubernetes.
  • Monitoring : Prometheus, Grafana, ELK Stack.
  • Familiarity with scripting (e.g., Python, Bash) for automation.
  • Soft Skills :

  • Strong problem-solving and analytical skills for distributed systems.
  • Quick learner, adaptable to new tools and processes.
  • Excellent communication and collaboration skills.
  • Certifications (Preferred) :

  • AWS Certified Solutions Architect, AWS Certified Database Specialty, or Elastic Certified Engineer.
  • Neo4j Certified Professional or Redis-related certifications.
  • DevOps certifications (e.g., Docker, Kubernetes).
  • Good-to-Have :

  • Experience with other AWS databases (e.g., RDS, DynamoDB, Neptune).
  • Knowledge of big data tools (e.g., Hadoop, Spark, Kafka).
  • Familiarity with log analytics platforms (e.g., ELK Stack, Splunk).
  • Responsibilities of the Job Include (But Not Limited To) :

  • Serve as primary POC for advanced-level troubleshooting and perform hands-on DB / system administration.
  • Automate regular administrative tasks and ensure correctness.
  • Document data standards, procedures, and dictionary definitions.
  • Collaborate with SREs and developers on DB design, performance tuning, and production support.
  • Help evolve application / database architecture and support environment creation.
  • Respond to on-call incidents, and support technical queries from staff, management, and vendors.
  • (ref : hirist.tech)

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