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

Remote, USA Full-time
At arenaflex, we're revolutionizing the way we experience entertainment and storytelling. As a leading innovator in the industry, we're seeking a highly skilled and motivated Full Stack Data Engineer to join our team. If you're passionate about building scalable, efficient, and innovative data solutions, we want to hear from you. **About arenaflex** arenaflex is a global leader in the entertainment industry, with a rich history of innovation and creativity. Our company is built on a foundation of imagination, collaboration, and a passion for storytelling. We're committed to pushing the boundaries of what's possible and creating unforgettable experiences for our audiences. **The Role** As a Full Stack Data Engineer at arenaflex, you'll play a critical role in designing and building the data infrastructure that powers our industry-leading, high-end global advertising business. Working across our streaming brands and linear stations, you'll have the opportunity to work on a wide range of projects, from building the core foundation of our proprietary ad server to reimagining viewer-first ad experiences and solutions. Our award-winning, in-house developed technologies are the backbone of our advertising business and a key component of our company's streaming future. **Key Responsibilities** As a Full Stack Data Engineer, you'll be responsible for: * Collaborating with business, analytics, and infrastructure teams to design and build data pipelines that support measuring subscriber growth and metrics. * Working across disciplines to identify internal and external data sources, design table schema, define ETL pipelines, and implement automated Data Quality checks. * Designing and implementing data architectures that are performant, reliable, and scalable in a rapidly evolving data ecosystem. * Developing and maintaining ETL schedules using ETL and orchestration tools like Windstream. * Executing database operations using tools like Pattern Change. * Performing ad-hoc analysis as needed. * Performing SQL and ETL tuning as needed. **Essential Qualifications** To be successful in this role, you'll need: * 2+ years of relevant experience in data engineering. * A strong understanding of data modeling principles, including layered modeling and data standardization standards. * Proficiency in SQL engines and the ability to lead advanced performance tuning. * The ability to think critically, analyze, and interpret market and customer data. * Strong communication skills – both written and verbal. * Excellent problem-solving and analytical skills. * A willingness to work in a fast-paced and highly collaborative environment. * Knowledge of Agile Scrum principles and practices. **Preferred Qualifications** While not required, the following qualifications are highly desirable: * 2+ years of experience implementing and maintaining business key performance indicators in data warehousing environments. * 2+ years of experience using scientific SQL, working with traditional relational databases or distributed systems (Snowflake or Redshift). * 2+ years of experience with programming languages (e.g., Python, Pyspark). * 2+ years of experience with data organization/ETL tools (Windstream, Nifi). * Experience with Snowflake, Databricks/EMR/Flash, or Windstream. **What We Offer** At arenaflex, we're committed to providing a dynamic and supportive work environment that fosters growth, innovation, and creativity. As a Full Stack Data Engineer, you'll have the opportunity to work on a wide range of projects, collaborate with talented professionals, and develop your skills and expertise. We offer a competitive salary, comprehensive benefits package, and a range of perks and rewards. **How to Apply** If you're passionate about data engineering and want to join a team that's pushing the boundaries of innovation and creativity, we want to hear from you. Please submit your application, including your resume and a cover letter, to [insert contact information]. We can't wait to hear from you! Apply for this job
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