Responsibilities

• Design, develop, and maintain scalable data infrastructure solutions.
• Collaborate with cross-functional teams to automate data platform operations.
• Implement and optimize distributed event stores using Kafka.
• Contribute to the development of parallel computing frameworks such as Spark.
• Monitor and troubleshoot data pipeline issues to ensure fault tolerance.
• Participate in code reviews and contribute to open-source projects.
• Document processes and developments for future reference and onboarding.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• Experience with data infrastructure technologies, particularly Kafka.
• Familiarity with distributed systems and cloud platforms.
• Knowledge of programming languages such as Java, Python, or Scala.
• Understanding of database systems, both SQL and NoSQL.
• A willingness to learn and implement new technologies and frameworks.
• Strong teamwork and communication skills, with a focus on collaboration.

Benefits

• Competitive salary and performance bonuses.
• Flexible working hours and remote work options.
• Comprehensive health and wellness benefits.
• Opportunities for professional development and career advancement.
• Collaborative and inclusive company culture.
• Access to cutting-edge technologies and tools.