Data & Software Engineer 5 — System Insights & Productivity Metrics @ Netflix

The System Insights & Productivity Metrics team is crucial to our Developer Experience organization. It focuses on empowering Netflix engineers with comprehensive system insights and metrics to enhance decision-making, optimize workflows, and drive engineering excellence across the organization. This team is responsible for developing solutions that visualize and analyze comprehensive system insights and metrics, supporting engineering excellence and aligning with strategic goals of accelerating innovation and reducing risk.

As a Data and Software Engineer, you will play a crucial role in developing solutions that ingest, process, aggregate, visualize, and analyze comprehensive system insights and metrics. Your work will directly impact Netflix's ability to deliver high-quality entertainment experiences to millions of users worldwide. You will collaborate with data scientists, product managers, and other engineers to build robust data pipelines and software solutions that power our analytics, machine learning models, and product features.

• Proficient in Java, Spark, and SQL.
• Extensive experience working on ETL, aggregation, and reporting.
• Experienced in building and managing distributed systems and data pipelines.
• Experience in building MCPs and GenAI Frameworks.
• Familiar with big data technologies and comfortable working with large scale datasets.
• Strong communicator with the ability to explain complex data problems in clear and concise language.
• Passionate about data quality, software design, and delivering impactful solutions.
• Comfortable working in a fast-paced, agile environment with ambiguous requirements.
• A collaborative team player who thrives in a diverse and inclusive culture.
  

Nice-to-have:

• Hands-on experience with batch or streaming data processing.
• Knowledge of data modeling, data warehousing, and data transformation.

The System Insights & Productivity Metrics team is crucial to our Developer Experience organization. It focuses on empowering Netflix engineers with comprehensive system insights and metrics to enhance decision-making, optimize workflows, and drive engineering excellence across the organization. This team is responsible for developing solutions that visualize and analyze comprehensive system insights and metrics, supporting engineering excellence and aligning with strategic goals of accelerating innovation and reducing risk.

As a Data and Software Engineer, you will play a crucial role in developing solutions that ingest, process, aggregate, visualize, and analyze comprehensive system insights and metrics. Your work will directly impact Netflix's ability to deliver high-quality entertainment experiences to millions of users worldwide. You will collaborate with data scientists, product managers, and other engineers to build robust data pipelines and software solutions that power our analytics, machine learning models, and product features.

,[Design, develop, and maintain scalable data pipelines and software applications that support Netflix's core business objectives., Collaborate with cross-functional teams to understand business needs and translate them into technical solutions that drive innovation and efficiency., Implement and optimize distributed processing frameworks to handle large-scale data processing., Develop and integrate software solutions for data analysis, reporting, and experimentation., Continuously improve system efficiency and effectiveness, leveraging best practices in data governance and software engineering., Stay informed about industry trends and emerging technologies to keep Netflix at the forefront of innovation.] Requirements: Java, Spark, SQL, ETL, Data pipelines, Big data, Kafka, product mindset, Data modeling Additionally: Private medical package, Life insurance, Conferences, International environment, Work Not Drive, Employee Giving, Employee Assistance Program, Family Forming & Reproductive Health, PPK, Flexible working hours, In-house trainings, ESOP, Psychological support, Modern office building, Team events, Free lunch, Free parking, Mobile phone, Free snacks and beverages, Bike parking, No dress code, Shower, Free breakfast.