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Senior QA Automation Engineer
Skills
API TestingSQLSoftware TestingAnalytical SkillsApache KafkaQA AutomationQuality Assurance
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Deep understanding of data management principles
- Proficient in Java and SQL
- Experience with big data technologies like Hadoop, Spark, or Kafka
- Hands-on experience designing data management solutions in sports betting
- Skilled in designing scalable data architectures
- Optimize data environments for performance and efficiency
- Expertise in cloud platforms like AWS
- Knowledge of data security and compliance
- Proficient in automation tools like Ansible, Terraform, or Kubernetes
- Strong problem-solving skills in data environments
- Collaborate effectively with cross-functional teams
- Communicate technical concepts to non-technical audiences
- Commitment to continuous learning in data technologies
- Provide leadership and mentorship to junior engineers
- Proven track record of leading high-profile projects
- Strong analytical and situational leadership skills
- Experience with modern automation frameworks like Cypress or Playwright
- 5+ years in Quality Assurance
- 2+ years management leadership experience
Nice to have
- Strong engineering and execution abilities
- Excellent collaboration and communication
- Innovative
- Data-driven approach
Day to day
- You will define and lead quality assurance improvements in sports data management
- You'll create, develop, and drive improvements with strong engineering skills
- You will help create high-quality sports betting and iGaming experiences