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

Remote · USA Full-time New today

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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