Experienced Data Engineer (L4) - Privacy (Remote, Part-Time)
At arenaflex, we're revolutionizing the way people consume entertainment and connect with each other. With over 230 million subscribers worldwide, we're constantly pushing the boundaries of innovation, introducing new features like Advertising-supported plans, Games, and Live content. Our vast and complex data ecosystem is at the heart of our mission to provide a world-class experience for our users. As a leader in the paid membership space, we're committed to safeguarding our users' data with the utmost care, adhering to local security regulations and guidelines in the 190+ countries where we operate.
Our Security and Legal Information Design team crafts adaptable data management and extraction structures that enable us to maintain the highest standards of information protection and cleanliness in the industry. We're seeking an experienced Data Engineer to join our team and help us build robust, flexible, and privacy-driven data structures. As part of this group, you'll work with various data technologies like Flash, Voila, Flink, Kafka, and others to create fast, versatile, and powerful data pipelines; write ETL tasks to collect and aggregate data; and design top-notch data structures that enable proper handling of user personal data.
About the Role
As a Data Engineer (L4) - Privacy, you'll be responsible for:
Key Responsibilities
- Design and implement effective, flexible, and adaptable data pipelines to manage structured and unstructured data
- Develop a deep understanding of the data ecosystem at arenaflex from a privacy-focused perspective
- Collaborate with the privacy design teams to understand product objectives and provide data that enables us to respond to user and regulatory data requests
- Maintain and re-evaluate existing datasets and pipelines
- Join a talented team of data engineers who enhance our data protection and mitigate legal and regulatory risk
Essential Qualifications
- Proficiency in at least one of Java, Python, or Scala with a minimum of 2 years of programming/data engineering experience
- Strong understanding of advanced SQL
- Experience in designing data pipelines using big data technologies (Hive, Voila, Flash, Flink) on medium to large-scale datasets
- Ability to take requirements and implement flexible data models and pipelines
- Strong passion for showcasing excellence, learning new technologies, and growing your career
Preferred Qualifications
- Experience with cloud-based data platforms (e.g., AWS, GCP, Azure)
- Knowledge of data governance, data quality, and data security best practices
- Experience with data visualization tools (e.g., Tableau, Power BI)
- Strong understanding of data architecture and data engineering principles
Career Growth Opportunities
- Work with a talented team of data engineers who are passionate about data protection and innovation
- Collaborate with cross-functional teams to drive business outcomes and improve user experience
- Develop your skills and expertise through training, mentorship, and professional development programs
- Contribute to the design and implementation of cutting-edge data solutions that drive business growth and innovation
Work Environment and Company Culture
- Remote work options with flexible schedules to accommodate your needs
- Collaborative and dynamic work environment with a focus on innovation and experimentation
- Opportunities for professional growth and development through training, mentorship, and career advancement programs
- Recognition and rewards for outstanding performance and contributions to the team
Compensation, Perks, and Benefits
- Competitive salary and benefits package
- Flexible work arrangements and remote work options
- Professional development opportunities and training programs
- Recognition and rewards for outstanding performance and contributions to the team
- Access to cutting-edge technology and tools to drive innovation and growth