Senior Backend (Data) Engineer

As a Senior Backend (Data) Engineer at Azra Games, your primary responsibilities include designing and maintaining scalable backend services and APIs, owning the end-to-end data pipeline from ingestion to storage, architecting robust real-time data processing systems, and collaborating closely with game teams to support analytics and product needs.

To apply for the Senior Backend (Data) Engineer position at Azra Games, you should possess at least 4 years of backend engineering experience, particularly in data engineering or systems integration, along with proficiency in programming languages such as Golang and Python. Additionally, familiarity with AWS or Google Cloud services is expected.

Azra Games prioritizes creating an enjoyable work environment by offering competitive salaries, comprehensive health plans, and flexible work arrangements, including options for remote work. We also host social events, provide a generous technology budget, and maintain a casual yet professional atmosphere where everyone can thrive.

For the Senior Backend (Data) Engineer role at Azra Games, it's important to have strong experience with cloud platforms like AWS and Google Cloud, including tools such as S3, Glue, Redshift, or BigQuery. Understanding containerized environments and CI/CD practices will also be beneficial for success in this position.

At Azra Games, Senior Backend (Data) Engineers have multiple opportunities for career advancement. Working on innovative projects alongside expert teams allows for skill enhancement and potential growth into lead or managerial roles as you contribute to our success and take on more responsibilities.

When answering this question, highlight specific projects where you've built and maintained data pipelines. Discuss the technologies you used, any challenges faced, and how you ensured the reliability and scalability of the pipeline processes.

Be sure to mention the specific cloud platforms (like AWS or Google Cloud) and services (such as Lambda or BigQuery) you've used. Explain how you integrated these tools into your data solutions and any successes you've achieved using them.

Explain your strategies for debugging, such as using logging frameworks or monitoring tools like Prometheus. Discuss how proactive monitoring contributes to maintaining system reliability and performance, and share specific experiences related to such practices.

Focus on languages like Golang and Python, providing examples of projects where you used these languages effectively in backend or data engineering contexts. Emphasize how your proficiency contributes to your overall engineering capabilities.

Discuss your familiarity with CI/CD practices, tools like Terraform or Docker, and how these contribute to efficient deployment and infrastructure management. Provide examples of systems or workflows where you implemented these practices.

Share specific challenges related to data scalability you've faced, such as high volume ingestion or system performance issues. Discuss how you resolved these challenges and what lessons you learned along the way.

Explain your understanding of regulations like GDPR or CCPA and how you've implemented data privacy best practices within your engineering framework. Share any relevant experiences or initiatives you've led in this area.

Highlight a specific instance of collaboration where you gathered requirements from product managers or analysts to refine data systems. Discuss how this collaboration improved data outputs and informed decision-making for the project.

Share your experiences working in teams, emphasizing communication, knowledge sharing, and how you handle disagreements or differing opinions. Use specific examples to illustrate how collaboration led to successful outcomes.

Express your enthusiasm for technology and its role in creating innovative solutions. Share your motivation for building data systems that enhance user experience in gaming or other areas, connecting your passions to your career path.