05 I Cynet: I Data Engineer

Posted 26 days agoViewed

💎 Seniority level: Senior, 5 years

📍 Location: Poland

🔍 Industry: Data Engineering

⏳ Experience: 5 years

🪄 Skills: SQLKafkaKubernetesData engineeringGoRedisNosqlSpark

At least 5 years of experience in Data Engineering domain
At least 2 years of experience with GoLang
Proficiency in SQL, NoSQL, Kafka/Pulsar, ELK, Redis and column store databases
Experienced with big data tools such as Spark or Flink to enhance system performance and scalability
Proven experience with Kubernetes (K8S) and familiarity with GTP tools to ensure efficient deployment and management of applications.
Ability to work effectively in a collaborative team environment
Excellent communication skills and a proactive approach to learning and development

Architect, develop, and maintain robust distributed systems with complex requirements, ensuring scalability and performance.
Work closely with cross-functional teams to ensure the seamless integration and functionality of software components.
Implement and optimize scalable server systems, utilizing parallel processing, microservices architecture, and security development principles.
Effectively utilize SQL, NoSQL, Kafka/Pulsar, ELK, Redis and column store databases in system design and development.
Leverage big data tools such as Spark or Flink to enhance system performance and scalability(experience with these tools is advantageous).
Demonstrate proficiency in Kubernetes (K8S) and familiarity with GTP tools to ensure efficient deployment and management of applications.