Senior QA Automation Engineer - Technology Execution

Senior QA Engineer | Horizontal Domain Steward - Data Management and Environments

What You Will Do

As Senior QA Engineer | Horizontal Domain Steward - Data Management and Environments at Caesars Digital, you will be defining and leading our engineering and quality assurance improvements in the space of sports data management and non-production environment architecture and utilization. Exercising strong engineering and execution skills to create, develop, and drive improvements in this field with a strong focus on helping our Requirements Areas create high quality sports betting and iGaming experiences that Caesars customers will love.

Here are some key qualities you will need:

1. Deep Technical Expertise:  As Senior QA Engineer | Horizontal Domain Steward - Data Management and Environments you will possess a deep understanding of data management principles, database technologies, data governance, and related tools and frameworks. They should be proficient in languages like Java and SQL and have experience with big data technologies such as Hadoop, Spark, or Kafka.
2. Experience and Domain Knowledge: Experience plays a crucial role in becoming a great Senior QA Engineer | Horizontal Domain Steward - Data Management and Environments. You should have hands-on experience designing and implementing data management and environments solutions across different industries and use cases (but primarily the sports betting domain), allowing you to draw on past successes and lessons learned.
3. System Design Skills: As Senior QA Engineer | Horizontal Domain Steward - Data Management and Environments you are skilled in designing robust and scalable data architectures that meet the organization's current and future needs. This includes designing data pipelines for ingestion, transformation, and storage, as well as ensuring data quality, consistency, and integrity.
4. Performance Optimization: You are adept at optimizing data environments for performance, throughput, and efficiency. This involves tuning database queries, optimizing data storage and indexing strategies, and implementing caching mechanisms to improve query response times.
5. Cloud Expertise: With the increasing adoption of cloud technologies for data storage and processing, the Senior QA Engineer | Horizontal Domain Steward - Data Management and Environments should have expertise in cloud platforms such as AWS. You should understand how to leverage cloud services for data storage, analytics, and machine learning.
6. Data Security and Compliance: The Senior QA Engineer | Horizontal Domain Steward - Data Management and Environments should be aware of data security requirements we are working to in our regulated markets and ensure solutions conform to those security standards. 
7. Automation and Orchestration: They are proficient in automation and orchestration tools such as Ansible, Terraform, or Kubernetes, enabling them to automate routine tasks, provision resources dynamically, and manage complex data environments efficiently.
8. Problem-Solving Abilities: They have strong problem-solving skills and can troubleshoot and debug complex issues in data environments quickly and effectively. They are proactive in identifying potential bottlenecks or performance issues and implementing solutions to address them.
9. Collaboration and Communication: They collaborate effectively with cross-functional teams including data engineers, data scientists, software developers, and business stakeholders. They communicate technical concepts and recommendations clearly and concisely to non-technical audiences.
10. Continuous Learning and Adaptability: Data technologies evolve rapidly, so they are committed to continuous learning and staying updated with the latest trends, tools, and best practices in data management and analytics.
11. Leadership and Mentorship: They provide leadership and mentorship to junior engineers, guiding them in best practices, architectural principles, and professional development. They lead by example, fostering a culture of innovation, collaboration, and excellence within their team.

Additional Specifics

• Metrics and KPIs: You will need to take a data-driven, empirical approach to these transformational initiatives. Baseline, apply improvements, measure, and iterate to drive results against targets. Use this framework to refine concepts and ideas before scaling them out to all teams in the organization. 

What You Will Need

• Proven track re