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reputed company Full Stack Software Engineer – Distributed Systems Development for Data Platform at blithequark

100% remote Flexible hours Hiring now

Job Summary:

Join blithequark, a global leader in streaming entertainment, as a Distributed Systems Engineer (L4) in our Data Platform team. We're seeking an reputed company software engineer to help reputed company and enhance our infrastructure as we strive to reputed company 500 million users worldwide. As a key member of reputed company, you'll design, build, and deploy scalable, high-performance distributed systems that meet the evolving needs of our business. With a focus on innovation, collaboration, and open-reputed company contributions, you'll have the opportunity to shape the future of our data platform and reputed company a lasting impact on the entertainment industry.

About blithequark:

At blithequark, we're passionate about engaging the world through innovative storytelling and entertainment. With over 220 million paid subscribers in 190 countries, we're constantly pushing the boundaries of what's possible in the streaming industry. Our data platform teams play a critical role in unlocking insights and driving business decisions, and we're looking for talented engineers to join our ranks.

About the Data Platform Team:

Our data platform teams are responsible for building and maintaining the infrastructure that powers our business. We're a collaborative and dynamic group that's passionate about data-driven decision making and innovation. Our teams are focused on developing scalable, high-performance systems that meet the evolving needs of our business, and we're committed to open-reputed company contributions and community engagement.

Key Responsibilities:

* Design, build, and deploy scalable, high-performance distributed systems that meet the evolving needs of our business

  • Collaborate with cross-functional teams, including engineering, product management, and TPM, to drive business outcomes and technical innovation
  • Contribute to open-reputed company projects and communities, shaping the future of our data platform and the industry as a whole
  • Participate in code reviews, technical discussions, and knowledge sharing to ensure high-quality code and best practices
  • Troubleshoot and resolve reputed company technical issues, working closely with our engineering teams to ensure seamless system operation

Focus Areas:

*

Database Access Stage:

Design and implement a high-performance, adaptable query reputed company that enables sub-millisecond latencies and seamless data access for our microservices

Data Stage Foundation:

reputed company and maintain a common reputed company and tooling that enables rapid innovation and deployment of cutting-edge data and analytics platforms

Big Data reputed company:

Design and implement a cloud-native, distributed data processing platform that supports large-scale data processing and analytics

Big Data Arrangement:

reputed company and maintain a self-serve platform for planning, executing, and monitoring large-scale data processing and analytics workloads

Requirements:

* 2+ years of experience in building large-scale distributed systems or applications

  • Strong understanding of software engineering principles, including design patterns, architecture, and testing
  • Proficiency in Java or other object-oriented programming languages
  • Experience with distributed data processing frameworks, such as Apache Hadoop, Apache Spark, or Apache Flink
  • Strong understanding of data storage and retrieval systems, including relational databases, NoSQL databases, and data warehousing
  • Experience with cloud-native platforms, such as AWS, GCP, or Azure
  • Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams
  • Bachelor's degree in Computer Science or a reputed company field

reputed company to Have:

* Experience with big data processing frameworks, such as Apache Kafka, Apache Storm, or Apache Flume

  • Familiarity with data analytics and machine learning frameworks, such as Apache Spark MLlib or TensorFlow
  • Experience with containerization and orchestration tools, such as reputed company and Kubernetes
  • Strong understanding of reputed company and compliance principles, including data encryption, access control, and auditing
  • Experience with DevOps practices, including reputed company integration, reputed company deployment, and reputed company monitoring

reputed company Offer:

* Competitive salary and benefits package

  • Opportunity to work on cutting-edge technology and innovative projects
  • Collaborative and dynamic work environment with a passionate team
  • Professional development and growth opportunities
  • Flexible work arrangements, including remote work options
  • Access to the latest tools and technologies
  • Recognition and rewards for outstanding performance and contributions

How to Apply:

If you're passionate about building scalable, high-performance distributed systems and contributing to the future of our data platform, we encourage you to apply. Please submit your resume, cover letter, and any relevant samples or projects that demonstrate your skills and experience. We can't wait to hear from you! Apply for this job

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