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Experienced Data Engineer – Cloud-Based Data Pipeline Development and Support

Worldwide Salaried Open

At arenaflex, we're on a mission to revolutionize the way we collect, process, and analyze data to drive business growth and innovation. As a leading player in the entertainment industry, we're constantly seeking talented individuals to join our team and help us achieve our goals. If you're a skilled data engineer with a passion for cloud-based data pipeline development and support, 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, courage, and a commitment to excellence. We're proud to be a part of the Disney family, and we're dedicated to delivering exceptional experiences to our customers around the world.

The Role

We're seeking an experienced data engineer to join our Data Engineering team at arenaflex. As a data engineer, you'll play a critical role in designing, developing, and maintaining our cloud-based data pipelines. You'll work closely with our data scientists, analysts, and engineers to ensure that our data is accurate, reliable, and easily accessible. Your expertise will help us drive business growth, improve operational efficiency, and make data-driven decisions that shape the future of our company.

Key Responsibilities

As a data engineer at arenaflex, you'll be responsible for:

  • Designing, developing, and maintaining cloud-based data pipelines using technologies such as Snowflake, PostgreSQL, and Python
  • Collaborating with data scientists, analysts, and engineers to ensure that our data is accurate, reliable, and easily accessible
  • Developing and maintaining ETL/ELT information pipelines, data approval processes, and data visualization strategies
  • Creating and maintaining automated workflows and schedulers to streamline data processing and delivery
  • Working with large datasets and big data technologies, such as Snowflake, Databricks, or similar
  • Developing and maintaining cloud-based data architectures and products, ideally using AWS
  • Overseeing and delivering code using a source control item like GitLab/GitHub
  • Using Docker to containerize and deploy data pipelines and applications

Essential Qualifications

To be successful in this role, you'll need:

  • A bachelor's degree in Computer Science, Mathematics, Engineering, or a related field
  • 2+ years of experience in ELT/ETL information pipeline development and support
  • Demonstrated expertise in using Python and SQL (ideally with Snowflake)
  • Experience working in a multi-environment (Dev, QA, Prod, etc.) and DEVOPS strategies for code organization and development
  • Experience creating and maintaining automated workflow schedulers
  • Strong understanding of data set design and capabilities

Preferred Qualifications

While not required, the following qualifications will give you a competitive edge:

  • Experience working with large datasets and big data technologies, ideally cloud-based, like Snowflake, Databricks, or similar
  • Proficiency in cloud design and product contributions, ideally using AWS
  • Experience overseeing and delivering code using a source control item like GitLab/GitHub
  • Experience using Docker to containerize and deploy data pipelines and applications

What We Offer

As a data engineer at arenaflex, you'll enjoy a range of benefits, including:

  • Competitive salary and benefits package
  • Opportunities for career growth and professional development
  • Collaborative and dynamic work environment
  • Access to cutting-edge technologies and tools
  • Flexible work arrangements, including remote work options
  • Recognition and rewards for outstanding performance

How to Apply

If you're a motivated and talented data engineer looking for a new challenge, we want to hear from you! Please submit your application, including your resume and a cover letter, to our careers page. We can't wait to hear from you! Apply Now! Apply for this job

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