**Experienced Full Stack Data Engineer – Web & Cloud Application Development at blithequark**

Are you a skilled data engineer with a passion for building scalable and efficient data pipelines? Do you enjoy working with large datasets and developing innovative solutions to complex problems? If so, we may have the perfect opportunity for you at blithequark. **About blithequark** blithequark is a leading entertainment company that is revolutionizing the way people consume media. With over 200 million paid members in over 190 countries, we are constantly pushing the boundaries of innovation and technology to deliver the best possible experience for our customers. Our team of talented engineers, data scientists, and product managers work together to develop cutting-edge solutions that drive business growth and improve customer satisfaction. **Job Summary** We are seeking an experienced full stack data engineer to join our team at blithequark. As a data engineer, you will be responsible for designing, building, and maintaining large-scale data pipelines that support our business operations. You will work closely with our data science team to develop innovative solutions to complex problems and collaborate with our engineering team to ensure seamless integration with our core product functions. **Responsibilities** * Design, build, and maintain large-scale data pipelines that support our business operations * Develop and implement data models that enable real-time processing and analytics * Collaborate with our data science team to develop innovative solutions to complex problems * Work closely with our engineering team to ensure seamless integration with our core product functions * Develop and maintain high-quality documentation and data debugging tools * Participate in code reviews and contribute to the development of best practices for data engineering * Collaborate with our business stakeholders to understand their data needs and develop solutions that meet those needs * Stay up-to-date with the latest trends and technologies in data engineering and apply that knowledge to improve our data pipelines and solutions **Requirements** * Bachelor's degree in Computer Science, Engineering, or a related field * 5+ years of experience in data engineering, with a focus on building scalable and efficient data pipelines * Strong programming skills in languages such as Java, Scala, or Python * Experience with big data technologies such as Hadoop, Spark, or Flink * Strong understanding of data modeling and data warehousing concepts * Experience with cloud-based data platforms such as AWS or GCP * Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams * Experience with agile development methodologies and version control systems such as Git **Preferred Qualifications** * Master's degree in Computer Science, Engineering, or a related field * 10+ years of experience in data engineering, with a focus on building scalable and efficient data pipelines * Experience with machine learning and artificial intelligence technologies * Experience with data visualization tools such as Tableau or Power BI * Experience with cloud-based data platforms such as Azure or Google Cloud * Strong understanding of data governance and data security concepts **What We Offer** * Competitive salary and benefits package * Opportunity to work with a talented team of engineers, data scientists, and product managers * Collaborative and dynamic work environment * Professional development opportunities, including training and mentorship programs * Flexible work arrangements, including remote work options * Access to the latest technologies and tools in data engineering and analytics * Opportunity to work on high-impact projects that drive business growth and improve customer satisfaction **How to Apply** If you are a motivated and talented data engineer with a passion for building scalable and efficient data pipelines, we encourage you to apply for this exciting opportunity at blithequark. Please submit your resume and a cover letter that highlights your relevant experience and skills. **Interview Process** Our interview process typically consists of a series of technical and behavioral questions that assess your skills and experience as a data engineer. We may also conduct a coding exercise or a presentation to evaluate your problem-solving skills and communication abilities. **Common Interview Questions** Here are some common interview questions that we ask data engineers, along with some suggested answers: * Tell me about yourself. + Provide a brief summary of your professional experience and skills, highlighting your relevant experience and achievements. * Why do you want to work for this company? + Discuss the company's values, mission, or reputation that align with your career goals, and mention specific aspects of the company that attracted you. * What is your greatest strength? + Highlight a relevant strength, such as problem-solving, leadership, or technical skills, and provide an example that demonstrates your ability to apply that strength in a real-world scenario. * What is your greatest weakness? + Discuss a weakness, but emphasize how you are working to improve it, and provide an example that demonstrates your ability to learn and grow. * Tell me about a challenging scenario you've faced at work and how you handled it. + Use the STAR method (Situation, Task, Action, Result) to provide a detailed answer that showcases your problem-solving skills and ability to work under pressure. * Why should we hire you for this position? + Highlight your relevant qualifications, experience, and skills, and explain how they make you the best fit for the position. * Where do you see yourself in 5 years? + Share your career aspirations and explain how they align with the company's growth and development plans. * What do you know about our products/services? + Research the company's products and services, and provide specific examples that demonstrate your understanding of how they benefit customers. * How do you handle working under stress? + Describe your ability to remain calm, prioritize tasks, and communicate effectively in high-stress situations, and provide an example that demonstrates your ability to work under pressure. **Apply Now** If you are a motivated and talented data engineer with a passion for building scalable and efficient data pipelines, we encourage you to apply for this exciting opportunity at blithequark. Please submit your resume and a cover letter that highlights your relevant experience and skills. Apply Job! Apply for this job