Database and Kafka Administrator

We are looking for a Database and Kafka Administrator for an IT development company specializing in online gaming and cryptocurrency technology.

Requirements:

• 5+ years of solid Database Administration and Programming experience with PostgreSQL with very large data volumes;

• DB and system tuning using different tools. Clear understanding of query plan management, DDL;

• Strong knowledge of Kafka, including setup, configuration, monitoring, and troubleshooting, including Kafka — — Connect, Kafka Streams, Schema Registry and KSQL;

• Excellent problem solving, issue identification, analytical and technical documentation skills;

• Strong interpersonal skills and ability to work well in a team environment.

• Good written and verbal communication skill;

• Willing to take on-call rotation and occasional weekend work.

Responsibilities:

• Contribute to planning and architecting database solutions to meet business needs, applying comprehensive knowledge in problem resolution. Develop new methods and processes, understanding their impact. Influence team decisions and provide input on larger organizational decisions;

• Expertise in investigation and resolution of performance related issues;

• Analyze system performance, perform systems testing, performance and tuning;

• Develop and implement standards, procedures, and policies regarding software and applications databases;

• Implement and manage Kafka clusters, including topic creation, maintenance, and monitoring;

• Ensure high availability and reliability of Kafka infrastructure;

• Collaborate with development teams to integrate Kafka into their applications.

Will be a plus:

• Any experience with streaming processing systems like Confluent platform, AWS MSK, AWS Kinesis;

• Any exposure of programming languages such as Python, Java or C/C++ or Perl would also be helpful.

Any experience with:

• RabbitMQ;

• Kafka broker;

• Apache ActiveMQ/Artemis;

• TimescaleDB;

• InfluxDB;

• Elasticsearch/Opensearch;

• Apache Cassandra;

• AWS DynamoDB;

• ClickHouse;

• Oracle DB;

• Apache Airflow;

• Apache Spark;

• Apache Flink.

Work conditions:

• Remote;

• 30 days of paid vacation;

• English courses;

• Paid sick leaves;

• Medical insurance.