At arenaflex, we're on a mission to revolutionize the way we collect, process, and analyze data to drive business decisions and create unparalleled experiences for our customers. As a leading innovator in the entertainment industry, we're seeking an experienced Data Engineer to join our Data Engineering team and help us build and maintain cutting-edge data pipelines that support our Media business.
**About arenaflex**
arenaflex is a global leader in the entertainment industry, with a rich history of innovation and creativity. Our company is home to some of the most beloved brands in the world, including Disney Parks, Experiences and Products, Disney Media Networks, and ESPN. We're committed to pushing the boundaries of what's possible and creating unforgettable experiences for our customers.
**About the Data Engineering Team**
The Data Engineering team at arenaflex is responsible for designing and developing data pipelines that support our business operations. We work closely with cross-functional teams to gather requirements, design and implement data pipelines, and ensure that our data is accurate, reliable, and secure. Our team is passionate about using data to drive business decisions and create new opportunities for growth and innovation.
**Job Summary**
We're seeking an experienced Data Engineer to join our team and help us build and maintain cloud-based data pipelines that support our Media business. As a Data Engineer, you'll be responsible for designing and developing data pipelines, working with large datasets, and collaborating with cross-functional teams to ensure that our data is accurate, reliable, and secure.
**Key Responsibilities**
* Design and develop cloud-based data pipelines using SQL, Python, and other technologies
* Work with large datasets and large-scale data processing systems, such as Snowflake and Databricks
* Collaborate with cross-functional teams to gather requirements, design and implement data pipelines, and ensure that our data is accurate, reliable, and secure
* Develop and maintain automated workflows and data pipelines using tools such as Docker and GitLab
* Work with data architects and data scientists to design and implement data models and data governance policies
* Troubleshoot and resolve issues with data pipelines and data quality
* Stay up-to-date with industry trends and emerging technologies in data engineering and analytics
**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
* Strong experience with Python and SQL (ideally with Snowflake)
* Experience with cloud-based data processing systems, such as Snowflake, Databricks, or similar
* Experience with Docker and GitLab
* Strong understanding of data governance policies and data quality best practices
**Preferred Qualifications**
* Experience working with large datasets and large-scale data processing systems
* Experience with cloud design and product contributions, ideally AWS
* Experience with source control systems, such as GitLab or GitHub
* Experience with data visualization tools, such as Tableau or Power BI
* Experience with machine learning and artificial intelligence
**What We Offer**
* Competitive salary and benefits package
* Opportunity to work with a leading innovator in the entertainment industry
* Collaborative and dynamic work environment
* Professional development and growth opportunities
* Flexible work arrangements, including remote work options
* Access to cutting-edge technologies and tools
* Recognition and rewards for outstanding performance
**How to Apply**
If you're passionate about data engineering and analytics, and you're looking for a challenging and rewarding career opportunity, we encourage you to apply. Please submit your resume and cover letter to [arenaflex careers page](https://arenaflex.com/careers).
**arenaflex is an equal opportunity employer**
arenaflex is committed to creating a diverse and inclusive work environment that reflects the communities we serve. We welcome applications from qualified candidates of all backgrounds, experiences, and perspectives.
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