Experienced Full Stack Data Engineer – Cloud-Based Data Pipeline Development and Support at arenaflex
Join arenaflex, a leading innovator in the entertainment industry, and embark on a rewarding career as a Full Stack Data Engineer. At arenaflex, we're not just a company – we're a community of passionate individuals driven by a shared vision to push the boundaries of creativity and innovation. Our Data Engineering team is at the forefront of this mission, harnessing the power of data to drive business decisions and shape the future of entertainment.
About arenaflex
arenaflex is a global leader in the entertainment industry, with a rich history of innovation and creativity. From the magic of Disney Parks and Resorts to the thrill of ESPN and Sports Content, we're dedicated to delivering unforgettable experiences to audiences around the world. Our Data Science + Mix (DDSI) association is a key driver of this mission, using cutting-edge technology and data-driven insights to inform business decisions and drive growth.
The Role
We're seeking an experienced Full Stack Data Engineer to join our DDSI Information Designing (DE) team. As a key member of this team, you'll play a critical role in the development and support of data pipelines and datasets for our Media business. Your work will involve a range of data engineering activities, including:
- Developing and maintaining data pipelines and ETL/ELT processes
- Designing and implementing data set schema and tables
- Creating and monitoring data pipelines and workflows
- Delivering datasets as input to science models and visualizations
- Collaborating with cross-functional teams to drive business outcomes
Key Responsibilities
* Develop and maintain data pipelines and ETL/ELT processes using SQL (Snowflake and PostgreSQL), Python, Docker, and GitLab
- Design and implement data set schema and tables using cloud-based data platforms like Snowflake, Databricks, or similar
- Create and monitor data pipelines and workflows using automation tools and scripts
- Deliver datasets as input to science models and visualizations using data visualization tools and libraries
- Collaborate with cross-functional teams to drive business outcomes and inform data-driven decisions
Requirements
* Bachelor's degree in Computer Science, Mathematics, Engineering, or related field
- 2+ years of experience in ELT/ETL data pipeline development and support
- Proven expertise in using Python and SQL (ideally with Snowflake)
- Experience working in a multi-cloud environment (Dev, QA, Prod, etc.) and DEVOPS strategies for code organization and development
- Experience creating and maintaining automated job schedulers
- Strong understanding of data set schema and design principles
Nice to Have
* Experience working with large datasets and big data platforms, ideally cloud-based
- Proficiency in cloud architecture and product development, ideally AWS
- Experience managing and delivering code using a source control tool like GitLab/GitHub
- Experience using Docker and containerization
What We Offer
* Competitive salary and benefits package
- Opportunities for career growth and professional development
- Collaborative and dynamic work environment
- Flexible remote work arrangements
- Access to cutting-edge technology 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 experience and qualifications. Apply Now! arenaflex is an equal opportunities employer and welcomes applications from diverse candidates. We're committed to creating an inclusive and supportive work environment that values diversity, equity, and inclusion. Apply for this job