Experienced Data Engineer – Cloud-Based Data Pipeline Development and Support
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 organization in the entertainment industry, we're looking for a highly skilled and motivated Data Engineer to join our Data Science + Mix (DDSI) team. If you're passionate about working with large datasets, cloud-based technologies, and collaborative environments, 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 home to some of the most iconic brands in the world, including Disney Parks, Experiences and Products, Disney Media Networks, and ESPN. We're committed to delivering exceptional experiences to our customers, and we're always looking for talented individuals to join our team.
The DDSI Team
The Data Science + Mix (DDSI) team is responsible for supporting clients across arenaflex, including the Disney Parks, Experiences and Products division, which encompasses Parks and Resorts both domestic and international, Consumer Products and Disney Consumer Products & Interactive Media, as well as the Disney Media Networks division, which includes Studios Content (Disney General Entertainment Content), General Entertainment Content, and ESPN and Sports Content. Our team uses data science, data engineering, and analytics to drive business decisions and drive business value.
The Data Engineering Team
The Data Engineering team is responsible for collaborating with Data Science, Client and Innovation colleagues on various development and sustainment projects, ad-hoc requests, prototyping and research initiatives by providing data pipeline and data set design services. We're looking for a highly skilled Data Engineer to join our team and help us develop and sustain our media business.
Key Responsibilities
As a Data Engineer at arenaflex, you will be responsible for:
- Developing and sustaining data pipelines and data sets for our media business
- Collaborating with cross-functional teams to design and implement data solutions
- Working with large datasets and cloud-based technologies, such as Snowflake and Databricks
- Developing and maintaining automated workflows and schedulers
- Ensuring data quality and integrity through data validation and testing
- Collaborating with data scientists to develop and deploy data models and visualizations
- Staying up-to-date with industry trends and emerging technologies
Requirements
To be successful in this role, you will need:
- A Bachelor's degree in Computer Science, Mathematics, Engineering, or a 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 technologies, such as AWS
- Experience with source control systems, such as GitLab or GitHub
- Experience with Docker and containerization
- Strong understanding of data set design and architecture
- Experience working with large datasets and big data technologies
Preferred Qualifications
* Experience working with cloud-based data warehouses, such as Snowflake or Databricks
- Experience with data visualization tools, such as Tableau or Power BI
- Experience with machine learning and artificial intelligence
- Experience with data governance and compliance
- Experience with agile development methodologies and DevOps practices
What We Offer
As a Data Engineer at arenaflex, you will have the opportunity to work on exciting projects, collaborate with talented colleagues, and develop your skills in a fast-paced and dynamic environment. We offer a competitive salary and benefits package, as well as opportunities for professional growth and development.
Work Environment and Culture
arenaflex is a collaborative and inclusive work environment that values diversity, equity, and inclusion. We're committed to creating a workplace that's welcoming and supportive of all employees, regardless of their background, culture, or identity. Our team is passionate about innovation, creativity, and excellence, and we're always looking for talented individuals to join our team.
How to Apply
If you're passionate about data engineering and want to join a dynamic and innovative team, please submit your application through our website. We can't wait to hear from you! Apply Job! Apply for this job