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Experienced Full Stack Data Engineer – Privacy and Information Management (Remote, Part-Time)

Work from home Full-time role Hiring
At arenaflex, we're revolutionizing the way people consume entertainment and connect with each other. With over 230 million subscribers worldwide, we're constantly innovating and pushing the boundaries of what's possible. Our recent launches of Advertising-supported plans, Games, and Live content have significantly increased the complexity and scope of our internal data ecosystem. As one of the largest paid membership services, we're committed to handling our users' data with the utmost care, adhering to the highest standards of data protection and compliance with local regulations and guidelines in the 190+ countries where we operate. Our Security and Legal Information Engineering team designs flexible data management and extraction frameworks that form the backbone of our ability to uphold the highest data protection and cleanliness standards in the industry. We're seeking an experienced Data Engineer to join our team and help us build robust, adaptable, and privacy-driven data structures. As part of this team, you'll work with various data technologies like Flash, Voila, Flink, Kafka, and others to create fast, flexible, and powerful data pipelines; write ETL tasks to collect and aggregate data; and design high-quality data structures that enable proper handling of user personal data. Job Description

About the Role

We're looking for a highly skilled and motivated Data Engineer to join our team. As a Data Engineer at arenaflex, you'll play a critical role in designing and implementing data pipelines, data models, and data structures that support our business objectives while ensuring the highest standards of data protection and compliance.

Key Responsibilities

  • Design and implement effective, flexible, and adaptable data pipelines to handle structured and unstructured data
  • Develop a deep understanding of the data ecosystem at arenaflex from a data protection perspective
  • Collaborate with the data protection engineering teams to understand business objectives and provide data that enables us to respond to user and regulatory data requests
  • Maintain and re-evaluate existing datasets and pipelines to ensure they meet the evolving needs of our business
  • Join a talented team of data engineers who are passionate about improving our data protection practices and mitigating legal and regulatory risks

What We're Looking For

We're seeking a highly skilled and motivated individual who is passionate about data protection and has a strong background in data engineering. The ideal candidate will have:
  • A deep understanding of data engineering principles and practices
  • Proficiency in at least one programming language (Java, Python, or Scala) with a minimum of 2 years of experience in data engineering or a related field
  • Strong knowledge of advanced SQL concepts and data modeling
  • Experience designing data pipelines using big data technologies (Hive, Voila, Flash, Flink) on medium to large-scale datasets
  • Excellent problem-solving skills and ability to take requirements and deliver flexible data models and pipelines
  • A passion for learning new technologies and staying up-to-date with industry trends

What We Offer

As a Data Engineer at arenaflex, you'll have the opportunity to work on a wide range of projects, collaborate with a talented team of engineers, and contribute to the development of our data protection practices. We offer:
  • A competitive salary and benefits package
  • A flexible and remote work environment
  • Opportunities for professional growth and development
  • A collaborative and dynamic work environment
  • Access to cutting-edge technologies and tools

How to Apply

If you're passionate about data protection and have a strong background in data engineering, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter explaining why you're the ideal candidate for this role. We can't wait to hear from you! Apply Now! Apply for this job

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