Data Systems Architect

1 day ago

Tirupati, Andhra Pradesh, India beBeeDatabase Full time ₹ 10,00,000 - ₹ 15,00,000
Senior Data Engineer Position

We are seeking a highly skilled Senior Data Engineer with extensive hands-on experience in managing high-availability clusters, data and index shard management, schema planning, and data modelling for distributed search, in-memory, and graph-based systems.

Key Responsibilities:
  • Manage and optimize 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.
Requirements and Skills:

Bachelor's/Master's degree in Computer Science or related field.

5+ years of experience in managing high-availability databases in production.

  • Proven track record with critical production systems impacting revenue.
  • Expertise in data and index shard management, caching strategies, and node-relationship modelling.
  • Experience with Elasticsearch/OpenSearch APIs, query DSL, and optimization.
Technical Skills:
  • Proficient in AWS services (e.g., OpenSearch Service, EC2, ElastiCache, CloudWatch).
  • Familiarity with scripting (e.g., Python, Bash) for automation.
  • Skilled in DevOps tools: IaC: Terraform, CI/CD: Jenkins, GitLab CI, GitHub Actions Containerization: Docker, Kubernetes Monitoring: Prometheus, Grafana Familiarity with agile methodologies and lean principles.
Soft Skills:
  • Strong problem-solving and analytical skills for distributed systems.
  • Excellent communication and collaboration skills.

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