Database Engineer (Cassandra & Redis Specialist) at EPAM Systems Inc
Desde casa, Río Negro, Argentina -
Full Time


Start Date

Immediate

Expiry Date

22 May, 25

Salary

0.0

Posted On

23 Jan, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Data Modeling, Spark, Cluster Management, Linux

Industry

Information Technology/IT

Description

We are seeking an experienced NoSQL Database Engineer with strong expertise in Cassandra and Redis to manage and optimize our database infrastructures, ensuring high system performance and reliability.
EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

REQUIREMENTS

  • Expertise in designing and architecting Cassandra/NoSQL systems, including a deep understanding of complex Cassandra mechanisms like gossip protocol and hinted handoffs
  • Skilled in Cassandra Data Modeling, NoSQL Architecture, using Opscenter, Devcenter, Linux, and Spark for cluster administration
  • Experienced in Redis cluster management, configuration, and data management strategies
  • Proficiency in executing CQL queries, setting up basic CI/CD pipelines, and using AWS services (EC2, S3, IAM)
  • English proficiency at B2 level or higher
Responsibilities
  • Strategize database sizing, hardware requirements, and transaction volume for optimal DB cluster planning
  • Deploy, configure, and manage DSE, bare metal, and AWS database clusters
  • Monitor cluster performance and availability with advanced tools
  • Manage data exports, backups, and restoration to ensure data integrity
  • Conduct stress tests on clusters and optimize queries using indexing
  • Tune JVM settings, caches, and compaction for better performance
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