דרושים Ui Engineer L5 - Revenue Infrastructure ב-Netflix ב-Poland, Warsaw

You will excel if you are comfortable with the ambiguity that comes with innovation, can deliver scalable technical solutions, remove technical debts, think strategically, make decisions for long term effectiveness and are curious.

• Drive new technical solutions across teams, in a multi-disciplinary manner from requirements to applications deployment

• Actively work with product managers and our design team to scope and shape product decisions.

• Revamp and update existing web applications with new paved path solution

• Focus on streamlining user experience with simplicity

• Enhance and maintain existing applications to meet the needs of our partners and internal stakeholders

• Operate in a cross-functional dynamic environment where you will collaborate and learn from stunning colleagues with different roles and expertise to achieve common goal to bring #NetflixEverywhere

• Proven experience in a software development role

• Strong full-stack development skills with strength in front-end UI work:

  • Deep experience with React & GraphQL

  • Strong skills in HTML/CSS

  • Knowledge of testing frameworks and tools

  • Strong programming skills in JavasScript/Typescript. Experience with Java & Node.js.

  • Experience with at least several UI frameworks

• Ability to innovate through iteration; using prototypes and experiments to navigate solution ambiguity and passionate about data insight

• Proven ability to operate and troubleshoot complex systems crafted with microservice architecture

• Experience maintaining and improving legacy systems. Can evaluate and speak to tradeoffs concerning refactor vs rebuild vs buy.

• Ability to learn and use in-house software framework/components/service to build solutions effectively

• Outstanding communicators who are curious, flexible, and selfless

Job is open for no less than 7 days and will be removed when the position is filled.

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As a Software engineer you will be

• Responsible for designing, developing and delivering (including post launch support) scalable solutions to support our Finance and Tax teams globally.

• Working closely with internal business stakeholders from Finance and Tax teams to understand the use cases and build end-to-end solutions.

• Forging strong cross-functional relationships with business partners across various finance and engineering teams to successfully engage, understand and solve their needs.

• Strong Track record in developing enterprise application integrations (Recent experience with Workday Studio preferable).

• Thorough knowledge of Software Development Life cycle and QA processes.

• Proficiency of building restful APIs for internal and external products.

• Strong Understanding of Relational Databases and experience with MySQL / Oracle / PostgreSQL.

• Experience working with XML/XSLT/JSON and various document transfer formats such as EDI and ISO.

• Prior or current techno-functional experience in on-premise / SaaS based ERP applications will be an added advantage (Oracle / Workday/NetSuite).

• Working knowledge of Python / Java.

• Understanding of hive / iceberg data structures.

• Ability to think analytically and effectively and apply logic to solve problems.

• Skills required to thrive in a fast paced work environment while being detail oriented and decisive.

• Ability to collaborate effectively with business partners, functional solution engineers, fellow engineers and stakeholders on the projects.

• Clear and concise communication skills to disseminate information about your work, design, and tradeoff decisions, both in writing and verbally.

• Demonstrable commitment and achievement skills to exceed expectations and serve multiple partners while delivering an outstanding experience.

• Implement and manage software solutions that provide accurate and efficient analysis of test runs

• Create and maintain tools for framework-agnostic analysis of distributed tracing tools for test runs

• Develop and integrate software solutions which provide high-quality synthetic test data generated from captured production traffic and API schema registries

• Integrate internal and vendor-provided distributed test execution infrastructure into engineering workflows with a focus on reliability and ease of use

• Design and develop tools and infrastructure to automatically detect, quarantine, and reproduce flaky tests

• Correlate test coverage data with code changes, runtime execution, and trace data for comprehensive reporting

• Maintain a strong focus on scalability, usability, and reliability in platform design to support a growing cohort of stunning engineers

• Stay informed about industry trends and emerging technologies to ensure Netflix remains at the forefront of testing infrastructure

• A stunning software engineer with experience working on developer platform or productivity teams

• A meticulous software designer who researches and documents technical tradeoffs clearly and concisely

• A self-motivated and organized individual who can independently drive engineering-wide solutions

• A proactive communicator who engages effectively with technical and non-technical stakeholders

• An advocate for a strong testing culture, having familiarity with popular test frameworks, code coverage tools, continuous integration systems, and post-deployment verification methods (healthy contempt for flaky tests is a plus)

• You have shipped and maintained Java, JavaScript, Python, or Golang code in production

• You have designed and implemented metrics data pipelines

• You have assembled JVM Spring Boot applications using Gradle

• You have generated and analyzed Zipkin traces

• You have implemented advanced log, metric, or error stack trace analysis

Key Responsibilities:

• Design and Development:

  • Lead the creation of advanced data visualizations for data explanation and exploration.

  • Develop web applications using Node.js and front-end JavaScript (TypeScript encouraged) with frameworks like React or Vue.js.

• UI Responsibility and Scalability:

  • Ensure the design and implementation of user interfaces are intuitive, responsive, and scalable to accommodate future growth and changes.

  • Focus on creating a seamless and engaging user experience across all devices and platforms.

• Collaboration and Leadership:

  • Guide cross-functional teams in adopting best practices and innovative techniques for UI development.

  • Ensure consistency and quality across all applications and user experiences.

• Problem Solving:

  • Manage complex data flows and relationships in visualizations, ensuring they are efficiently handled and displayed.

  • Transform and prepare data efficiently for complex visualizations, ensuring clarity and usability.

What we are looking for:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Information Design, or a related field, with experience in data visualization engineering.
• Passionate about building beautiful web apps focused on data explanation and exploration, using Node.js and front-end JavaScript, React or Vue.js, with D3.js.
• Focused on making complex data intuitive and useful to a broad audience, iterating on tools based on user feedback.
• Knowledgeable about trade-offs between different chart types and skilled in selecting the best data representations.
• Experienced in working with data from various sources, including API endpoints and relational databases, and familiar with data-centric teams on metrics and analytics.

You can expect to:

• Work on some of the most used internal tools at Netflix, bringing together multiple data sources, metrics and predictive analytics to keep our business informed about how our financial and talent business is performing.
• Work with both creative and business stakeholders to rapidly iterate on your initial designs based on user research and feedback.
• Partner closely with R&D teams to bring new metrics, models and data sources to Netflix.

• Lead new technical solutions across teams, in a multi-disciplinary manner from requirements to applications deployment.

• Revamp and evangelize current platform capabilities to improve existing Partner Portal to focus on streamlining user experience with simplicity and reusability for engineering efficiency.

• Enhance and maintain a suite of existing partner web applications using engineering best practices to meet the needs of our stakeholders.

• Operate in a cross-functional dynamic environment where you will collaborate and learn from stunning colleagues with different roles and expertise to achieve common goal to bring #NetflixEverywhere.

• Proven experience in a software development role

• Strong in Java, GraphQL, and Node.js

• Drive innovation through iterative and incremental delivery

• Proven ability to troubleshoot complex systems crafted with microservice architecture

• Ability to work closely with internal stakeholders and external vendors to understand and leverage their software framework/components/services to build solutions

• Outstanding communicators who are curious, flexible, and selfless

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In this team, you’ll help elevate our conversation, marketing, and fandom decisions and events globally. You will own and architect our data engineering pipelines to ingest marketing and fandom data from various sources and power insights using the data.

• You have 6+ years of experience and proficiency building data pipelines in batch and/or real-time settings to support a variety of use cases. Some of our data sources are small (e.g., sales at Netflix House), and some are enormous (e.g., social media feeds). Our stack is Spark, Flink, Iceberg, Kafka - experience with these specific technologies is helpful but not strictly required.

• You are proficient in Python and/or Scala for scripting, automation, and data orchestration frameworks, and you can write complex SQL (any variant) for ad-hoc and recurring workflows. You strive to write elegant and maintainable code, and you're comfortable picking up new technologies.

• You understand how to model data efficiently for reporting and metrics, and how to organize data for scale and fast retrieval.

• You have experience sourcing and modelling data from application APIs and event streams.

• You have experience converting business requirements into data engineering workstreams, enabling insights that empower our colleagues to make better and more informed decisions.

• You have experience mentoring and guiding/unblocking other team members, navigating ambiguity and creating clarity

• Fully own critical pipelines and data sets to support variety of use cases in data science and engineering.

• Directly collaborate with stakeholders to understand needs, model tables using data warehouse best practices, and develop data pipelines to ensure the timely delivery of high-quality data.

• Creatively explore how to use data to continually add value to Netflix. Translate ambiguous business questions into clear data requirements, and then deliver on them.

• Be a bridge between data engineering and the business, enabling insights that empower our colleagues to make better and more informed decisions.

• Build strong partnerships with data scientists, analytics engineers, and machine Learning practitioners to enable research and insight delivery for the business.

• You work quickly and independently while also collaborating effectively across functions (e.g. with marketing experts, data scientists, product managers).

• You thrive in a fast-paced environment and see yourself as a partner in the business, with the shared goal of moving it forward.

• You have a growth mindset and expect the same from your colleagues. You are also curious, authentic, selfless, determined, and industrious. You generously give and receive candid feedback to grow yourself and those around you.

• You have strong beliefs that are weakly held: you can deliberate and hear all sides of a discussion, and adapt to new perspectives that emerge from it.

• You are a sharp communicator who can break down and explain complex data problems in clear and concise language.

Job is open for no less than 7 days and will be removed when the position is filled.

Key Responsibilities:

• 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.

Who You Are:

• Proficient in Java or Python, Spark, and SQL.

• Extensive experience working on ETL, aggregation, and reporting.

• Experienced in building and managing distributed systems and data pipelines.

• 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.
  

Preferred Qualifications:

• Hands-on experience with batch or streaming data processing.

• Knowledge of data modeling, data warehousing, and data transformation.

• Familiarity with software development tools and best practices.