**Experienced Full Stack Data Engineer – Advertisements Information Model Development and Data Pipeline Engineering**

Are you a highly skilled and motivated data engineer with a passion for building robust and scalable data pipelines? Do you have a strong background in data modeling, data warehousing, and data transformation? If so, we invite you to join the esteemed team at blithequark, a leading innovator in the entertainment industry, as a Full Stack Data Engineer – Advertisements Information Model Development and Data Pipeline Engineering. **About blithequark** blithequark is the world's leading internet entertainment service with over 220+ million subscribers in more than 190 countries enjoying TV series, movies, and documentaries across a wide range of genres and languages. With the recent addition of an ad-supported tier to our business, we are now reaching an even broader audience with ad-supported plans. As a result, our data engineering team is at the forefront of building an information ecosystem that informs and drives our understanding of how ads impact our business. **Job Summary** We are seeking an experienced and enthusiastic Full Stack Data Engineer to join our Promotions Information Designing team, which sits at the heart of our information ecosystem. As a key member of this team, you will be responsible for designing, building, and extending our core information models that our Advertisements capabilities use to address business questions. You will work closely with a talented team of data engineers, data researchers, and AI experts to build rich, connected, and easily accessible information about ad inventories, targeting, and more. Your work will have a significant impact on our business, and you will have the opportunity to influence our journey into advertising. **Responsibilities** * Design, build, and extend our core information models that our Advertisements capabilities use to address business questions * Collaborate with partners to identify needs, model tables using programming and data warehouse best practices, and develop information pipelines to ensure the timely delivery of high-quality information * Work closely with Examination Architects, Data Researchers, and Computer Programmers to create data indexes that will serve analysis and reporting needs intuitively * Foster best practices for the management of data indexes with sensitive data * Build strong and collaborative relationships with data researchers, analysis specialists, and AI experts **Requirements** * Bachelor's degree in Computer Science, Information Technology, or a related field * 3+ years of experience in data engineering, with a strong background in data modeling, data warehousing, and data transformation * Proficiency in programming languages such as SQL, Python, and Java * Experience with distributed processing systems such as Hadoop, Hive, and Pig * Strong understanding of data security and compliance with regulations such as GDPR * Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams * Strong problem-solving skills, with the ability to analyze complex data issues and develop creative solutions * Experience with data visualization tools and techniques, such as Tableau or Power BI * Familiarity with cloud-based data platforms, such as Amazon Web Services (AWS) or Microsoft Azure **Preferred Qualifications** * Experience with data warehousing and data transformation tools, such as Informatica or Talend * Familiarity with big data technologies, such as Hadoop, Spark, or NoSQL databases * Experience with data quality and data governance frameworks * Strong understanding of data architecture and data engineering principles * Experience with DevOps practices and tools, such as Jenkins or Docker **What We Offer** * Competitive salary and benefits package * Opportunity to work with a talented team of data engineers, data researchers, and AI experts * Collaborative and dynamic work environment * Professional development opportunities, including training and mentorship * Flexible work arrangements, including remote work options * Access to cutting-edge technology and tools * Recognition and rewards for outstanding performance **How to Apply** If you are a motivated and experienced data engineer with a passion for building robust and scalable data pipelines, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter outlining your experience and qualifications for this role. We look forward to hearing from you! **Equal Employment Opportunity** blithequark is an equal employment opportunity employer and welcomes applications from diverse candidates. We are committed to creating an inclusive and diverse work environment that reflects the communities we serve. Apply for this job