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

Worldwide Salaried Open

At arenaflex, we're on a mission to revolutionize the way we approach data-driven decision making. As a key member of our Data Engineering team, you'll play a critical role in shaping the future of our Media business by designing and developing scalable, cloud-based data pipelines that drive business value. If you're passionate about working with large datasets, cloud technologies, and collaborative teams, we want to hear from you!

About arenaflex

arenaflex is a leading entertainment and media conglomerate that brings joy and magic to millions of people around the world. Our Data Science + Mix (DDSI) association is responsible for supporting clients across the arenaflex organization, including Disney Parks, Experiences and Products, which encompasses Parks and Resorts, both domestic and international, Consumer Products, and Disney Interactive Experiences, as well as the Disney General Entertainment Content division, which includes Studios Content (Disney General Entertainment Content), General Entertainment Content, and ESPN and Sports Content. Our team uses data science, analytics, and innovation to drive business decisions and create new opportunities.

Job Summary

We're seeking an experienced Data Engineer to join our Data Engineering team, responsible for designing and developing cloud-based data pipelines that support our Media business. As a Data Engineer, you'll work closely with our Choice Science, Client, and Innovation colleagues on various projects, including data pipeline development, data set design, and data visualization. Your expertise will help us drive business value and make data-driven decisions.

Key Responsibilities

* Design and develop scalable, cloud-based data pipelines using technologies such as SQL (Snowflake and PostgreSQL), Python, Docker, and GitLab

  • Collaborate with cross-functional teams to gather data requirements, plan data pipelines, and implement data visualization strategies
  • Develop and maintain ETL/ELT data pipelines, data set design, and data visualization tools
  • Work with large datasets and cloud-based technologies, such as Snowflake, Databricks, or similar
  • Develop and maintain automated work schedulers and code organization/development strategies
  • Ensure data quality, security, and compliance with arenaflex standards and regulations

Essential Qualifications

* Bachelor's degree in Computer Science, Mathematics, Engineering, or related field

  • 2+ years of experience in ELT/ETL data pipeline development and support
  • Proficiency in Python and SQL (ideally with Snowflake)
  • Experience with cloud-based technologies, such as AWS
  • Experience with source control tools, such as GitLab or GitHub
  • Experience with Docker and containerization

Preferred Qualifications

* Experience working with large datasets and cloud-based technologies, such as Snowflake, Databricks, or similar

  • Proficiency in cloud design and product contributions, ideally AWS
  • Experience with data visualization tools, such as Tableau or Power BI
  • Experience with data governance and compliance frameworks

What We Offer

* Competitive salary: $27/hour

  • Comprehensive benefits package, including medical, dental, and vision insurance
  • 401(k) matching program
  • Flexible work arrangements, including remote work options
  • Opportunities for career growth and professional development
  • Collaborative and dynamic work environment
  • Access to cutting-edge technologies and tools
  • Recognition and rewards for outstanding performance

How to Apply

If you're passionate about data engineering and want to join a dynamic team that's shaping the future of entertainment and media, apply now! Please submit your resume and a cover letter explaining why you're the perfect fit for this role. We can't wait to hear from you! Apply Now! Apply for this job

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