Experienced Data Engineer for Advertising Technology – Building Scalable Data Pipelines and Driving Business Growth with Netflix

Introduction to Netflix and the Role Netflix, the world's leading web entertainment service, is seeking an experienced Data Engineer to join its Advertising Technology team. With over 220 million subscriptions in more than 190 countries, Netflix is committed to delivering high-quality content to its users. The company has recently expanded its business to include an ad-supported plan, making its service available to an even broader audience. As a Data Engineer, you will play a critical role in building and maintaining the data infrastructure that supports Netflix's advertising capabilities. Job Summary The Data Engineer will be responsible for designing, building, and maintaining large-scale data pipelines and architectures that support Netflix's advertising business. This includes working with various data sources, such as ad inventory, targeting, and measurement data, to create a unified view of the advertising ecosystem. The ideal candidate will have experience working with big data technologies, such as Hadoop, Spark, and Hive, as well as expertise in data modeling, data warehousing, and data governance. Key Responsibilities Design, build, and maintain large-scale data pipelines and architectures to support Netflix's advertising business Work with various data sources, such as ad inventory, targeting, and measurement data, to create a unified view of the advertising ecosystem Collaborate with data scientists, analysts, and engineers to develop and implement data models and pipelines that meet business requirements Develop and maintain data warehouses and data lakes to support business intelligence and analytics Ensure data quality, security, and compliance with industry regulations, such as GDPR Work with cross-functional teams to identify and prioritize data requirements and develop solutions to meet business needs Stay up-to-date with industry trends and emerging technologies in big data, data engineering, and advertising technology Essential Qualifications Bachelor's degree in Computer Science, Engineering, or a related field 5+ years of experience in data engineering, with a focus on big data technologies, such as Hadoop, Spark, and Hive Experience working with data modeling, data warehousing, and data governance Strong programming skills in languages, such as Java, Python, and SQL Experience working with cloud-based data platforms, such as AWS or GCP Strong understanding of data security, compliance, and privacy regulations, such as GDPR Preferred Qualifications Experience working in the advertising technology industry, with a focus on ad inventory, targeting, and measurement data Knowledge of data visualization tools, such as Tableau or Power BI Experience working with machine learning algorithms and models Strong understanding of cloud-based data platforms, such as AWS or GCP Experience working with agile development methodologies, such as Scrum or Kanban Skills and Competencies The ideal candidate will have a strong technical background, with expertise in data engineering, big data technologies, and data modeling. They will also have excellent communication and collaboration skills, with the ability to work with cross-functional teams to identify and prioritize data requirements. Additionally, they will have a strong understanding of data security, compliance, and privacy regulations, with the ability to ensure data quality and integrity. Technical Skills Big data technologies, such as Hadoop, Spark, and Hive Data modeling, data warehousing, and data governance Programming languages, such as Java, Python, and SQL Cloud-based data platforms, such as AWS or GCP Data visualization tools, such as Tableau or Power BI Soft Skills Excellent communication and collaboration skills Strong problem-solving and analytical skills Ability to work in a fast-paced environment, with multiple priorities and deadlines Strong attention to detail, with a focus on data quality and integrity Ability to work independently, with minimal supervision Career Growth Opportunities and Learning Benefits As a Data Engineer at Netflix, you will have the opportunity to work on complex and challenging projects, with a focus on building scalable data pipelines and architectures. You will also have the opportunity to work with a talented team of engineers, data scientists, and analysts, with a focus on collaboration and knowledge sharing. Additionally, you will have access to a wide range of training and development opportunities, with a focus on emerging technologies and industry trends. Training and Development Opportunities On-the-job training and mentorship Access to online courses and tutorials, such as Udemy, Coursera, and edX Opportunities to attend industry conferences and events Participation in hackathons and coding challenges Work Environment and Company Culture Netflix is a dynamic and fast-paced company, with a focus on innovation and creativity. The company culture is built around a set of core values, including judgment, communication, impact, curiosity, innovation, and selflessness. As a Data Engineer, you will be part of a talented team of engineers, data scientists, and analysts, with a focus on collaboration and knowledge sharing. Company Culture Focus on innovation and creativity Collaborative and dynamic work environment Opportunities for growth and development Flexible work arrangements, including remote work options Comprehensive benefits package, including health insurance, retirement savings, and paid time off Compensation, Perks, and Benefits Netflix offers a competitive compensation package, with a focus on salary, bonuses, and stock options. The company also provides a comprehensive benefits package, including health insurance, retirement savings, and paid time off. Additionally, the company offers a range of perks, including free meals, on-site fitness classes, and access to the latest technology and tools. Compensation Package Competitive salary, with a focus on industry standards Bonuses and stock options, based on performance and company goals Comprehensive benefits package, including health insurance, retirement savings, and paid time off Range of perks, including free meals, on-site fitness classes, and access to the latest technology and tools Conclusion As a Data Engineer at Netflix, you will have the opportunity to work on complex and challenging projects, with a focus on building scalable data pipelines and architectures. You will also have the opportunity to work with a talented team of engineers, data scientists, and analysts, with a focus on collaboration and knowledge sharing. If you are a motivated and talented individual, with a passion for data engineering and big data technologies, we encourage you to apply for this exciting opportunity. Apply now and join the Netflix team as a Data Engineer!