Senior Cassandra & NoSQL Database Engineer

EPAM Systems, Inc.

United States

Remote

USD 120,000 - 200,000

Full time

5 days ago
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Benefits offered by this job

Healthcare benefits
Paid time off
Continuous learning
LinkedIn Learning access

Job summary

EPAM Systems, Inc. seeks a Senior Database Engineer to architect, deploy, and optimize Cassandra-based data platforms at scale. You will work on complex data systems supporting critical operations, focusing on reliability and performance.

The role emphasizes hands-on cluster management, data modeling, and integration with Spark and Solr, in a Linux/Java environment. You will collaborate with global teams to implement robust infrastructure, CI/CD pipelines, and scalable data solutions, while

Qualifications

  • 3+ years hands-on experience with Cassandra/NoSQL systems.
  • Experience with Astra or AWS Keyspaces a plus.
  • Proficient in Cassandra data modeling and keyspace/table/index management.
  • Solid Linux and Java configuration knowledge.
  • Familiar with MongoDB and tombstone/GC concepts.

Responsibilities

  • Plan Cassandra cluster deployments based on data volumes and loads.
  • Set up and configure Cassandra clusters from scratch.
  • Monitor cluster availability and performance with tools.
  • Export data for downstream consumption in various formats.
  • Apply appropriate primary/secondary indexes for queries.
  • Perform backups/restores and data protection procedures.
  • Tune JVM, caching, and compaction settings for performance.
  • Run stress tests and analyze performance metrics.

Skills

Cassandra
NoSQL architecture
CQL queries
Linux
Java
CI/CD
Cloud services
Spark

Tools

Opscenter
Devcenter
Terraform
CloudFormation
Python
Jenkins
GitLab CI
TeamCity

Job description

EPAM Systems, Inc. seeks a Senior Database Engineer to architect, deploy, and optimize Cassandra-based data platforms at scale. You will work on complex data systems supporting critical operations, focusing on reliability and performance.

The role emphasizes hands-on cluster management, data modeling, and integration with Spark and Solr, in a Linux/Java environment. You will collaborate with global teams to implement robust infrastructure, CI/CD pipelines, and scalable data solutions, while

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