Experienced Data Engineer – Cloud-Based Data Pipeline Development and Support
Join arenaflex, a leading entertainment and media conglomerate, in a remote data engineering role that offers a unique blend of technical challenge and creative fulfillment. At arenaflex, we're passionate about harnessing the power of data to drive business growth and innovation. Our Data Engineering team is a key part of this effort, working closely with cross-functional teams to design, develop, and maintain scalable data pipelines that support our Media business. We're seeking an experienced Data Engineer to join our team and contribute to the development and support of our cloud-based data infrastructure.
About arenaflex
arenaflex is a global leader in the entertainment and media 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, Pixar, Marvel, Star Wars, and ESPN. We're committed to using our resources and expertise to create engaging experiences that inspire and delight audiences around the globe.
About the Role
As a Data Engineer at arenaflex, you'll play a critical role in designing, developing, and maintaining our cloud-based data pipelines. You'll work closely with our Data Science team to develop data sets and models that support business decision-making, and collaborate with our IT team to ensure seamless integration with our existing infrastructure. Your expertise will be essential in helping us to drive business growth, improve operational efficiency, and enhance customer experiences.
Key Responsibilities
* Design, develop, and maintain cloud-based data pipelines using SQL, Python, and other relevant technologies
- Collaborate with Data Science team to develop data sets and models that support business decision-making
- Work with IT team to ensure seamless integration with existing infrastructure
- Develop and maintain automated workflows and data pipelines using ETL/ELT tools
- Troubleshoot and resolve data pipeline issues in a timely and efficient manner
- Participate in code reviews and contribute to the development of best practices for data engineering
- Collaborate with cross-functional teams to identify and prioritize data engineering projects
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 expertise in Python and SQL (ideally with Snowflake)
- Experience with cloud-based data platforms, such as Snowflake, Databricks, or similar
- Proficiency in Docker and containerization
- Experience with source control systems, such as GitLab or GitHub
- Strong understanding of data modeling and data warehousing concepts
Preferred Qualifications
* Experience working with large datasets and big data technologies
- Proficiency in cloud design and product offerings, ideally AWS
- Experience with automated workflow schedulers and data pipeline orchestration tools
- Strong understanding of data governance and data quality concepts
- Experience with data visualization tools and techniques
What We Offer
* Competitive salary and benefits package
- Opportunity to work with a global leader in the entertainment and media industry
- Collaborative and dynamic work environment
- Professional development and growth opportunities
- Flexible remote work arrangement
- Access to cutting-edge technologies and tools
- Recognition and rewards for outstanding performance
How to Apply
If you're a motivated and experienced data engineer looking for a new challenge, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter outlining your qualifications and experience. We can't wait to hear from you!
Contact Information
arenaflex [arenaflex.com](http://arenaflex.com) [[email protected]](mailto:[email protected]) (555) 123-4567
Equal Employment Opportunity
arenaflex is an equal employment opportunity employer and welcomes applications from diverse candidates. We are committed to creating an inclusive and respectful work environment that values diversity and promotes equal opportunities for all employees. Apply for this job