Experienced Data Engineer - Privacy and Security Specialist for Global Entertainment Leader

Introduction to Our Company and Industry

Imagine being part of a global entertainment leader that delights over 230 million individuals worldwide, constantly engaging new audiences and pushing the boundaries of innovation. At Netflix, we are in the midst of significant groundbreaking developments, including the launch of an Advertising-supported plan, Games, and Live content. These new products, alongside our online service, have resulted in substantial increases in the complexity and breadth of our internal data ecosystem. As a leader in the entertainment industry, we manage one of the largest paid membership services and are committed to handling our members' data with the utmost care and adherence to local security regulations and guidelines in the 190+ countries where we operate.

Job Overview

We are seeking an experienced Data Engineer to join our Security and Legal Data Engineering team, which builds scalable data management and extraction structures that are at the core of our ability to uphold the highest data privacy and cleanliness standards in the industry. As a Data Engineer, you will play a critical role in expanding our capacity to construct robust, versatile, and privacy-driven data structures. You will work with various data technologies like Flash, Voila, Flink, Kafka, and others to build fast, scalable, and powerful data pipelines, write ETL responsibilities to collect and aggregate data, and construct high-quality data structures that enable the proper handling of customer personal data.

Key Responsibilities

• Design and implement efficient, scalable, and adaptable data pipelines to handle structured and unstructured data
• Develop a deep understanding of the data ecosystem at Netflix from a privacy perspective
• Collaborate with the privacy engineering teams to understand product goals and provide data that enables us to respond to customer and regulatory data demands
• Maintain and re-evaluate existing datasets and pipelines
• Join a talented team of data engineers who enhance our data privacy act and mitigate legal and regulatory risk
• Work with large datasets and complex data systems to identify trends, optimize performance, and improve data quality
• Develop and maintain technical documentation of data pipelines, architectures, and data structures
• Collaborate with cross-functional teams, including product, engineering, and analytics to ensure data consistency and accuracy

Essential Qualifications

• Passionate about consumer-driven data privacy and risk mitigation for the business
• Highly skilled in at least one of Java, Python, or Scala with at least 2 years of programming/data engineering experience
• Comfortable with advanced SQL
• Experienced in designing data pipelines using big data technologies (Hive, Voila, Flash, Flink) on medium to large-scale datasets
• Successful in taking requirements and implementing scalable data models and pipelines
• Excited about demonstrating excellence, learning new technologies, and growing your career

Preferred Qualifications

• Experience working with cloud-based data platforms, such as AWS or GCP
• Knowledge of data governance, data quality, and data security principles
• Familiarity with agile development methodologies and version control systems, such as Git
• Excellent communication and collaboration skills, with the ability to work effectively with both technical and non-technical stakeholders
• Strong problem-solving skills, with the ability to analyze complex data issues and develop creative solutions

Skills and Competencies

• Strong understanding of data engineering principles, including data modeling, data warehousing, and data governance
• Experience with data processing frameworks, such as Apache Beam, Apache Spark, or Apache Flink
• Knowledge of data storage solutions, such as relational databases, NoSQL databases, or data lakes
• Familiarity with data visualization tools, such as Tableau, Power BI, or D3.js
• Strong analytical and problem-solving skills, with the ability to work with complex data sets and develop insights

Career Growth Opportunities and Learning Benefits

At Netflix, we are committed to the growth and development of our employees. As a Data Engineer, you will have the opportunity to work on complex and challenging projects, develop new skills, and collaborate with talented engineers and data scientists. You will also have access to a wide range of training and development programs, including conferences, workshops, and online courses. Our goal is to provide you with the tools and resources you need to succeed in your career and make a meaningful impact on our business.

Work Environment and Company Culture

Our company culture is built on the principles of innovation, collaboration, and excellence. We believe in giving our employees the freedom to make decisions, take risks, and try new things. We also believe in the importance of work-life balance, and offer a range of benefits and perks to support our employees' well-being, including flexible working hours, remote work options, and a comprehensive health and wellness program. Our office is a dynamic and vibrant place, with a diverse and talented team of professionals who are passionate about their work and committed to making a difference.

Compensation, Perks, and Benefits

We offer a competitive salary and a range of benefits and perks, including health insurance, retirement savings, and paid time off. We also offer a range of perks, including free meals, on-site fitness classes, and access to the latest technology and tools. Our goal is to provide our employees with a comprehensive and competitive compensation package that recognizes their contributions and supports their well-being.

Conclusion

If you are a motivated and talented Data Engineer who is passionate about data privacy and security, we encourage you to apply for this exciting opportunity. As a member of our team, you will have the chance to work on complex and challenging projects, develop new skills, and collaborate with talented engineers and data scientists. You will also have the opportunity to make a meaningful impact on our business and contribute to the growth and success of our company. Don't miss out on this exciting role - apply now and take the first step towards an exciting and rewarding career at Netflix!