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 decisions. As a key member of our Data Engineering team, you'll play a vital role in shaping the future of our Media business by designing and developing scalable, cloud-based data pipelines that meet the evolving needs of our clients.
About arenaflex
arenaflex is a leading provider of innovative solutions for the entertainment industry, with a rich history of delivering exceptional experiences to our clients. Our Data Science + Mix (DDSI) association is dedicated to supporting clients across the arenaflex ecosystem, including the Disney Parks, Experiences and Products division, which encompasses Parks and Resorts, Consumer Products, and Disney Interactive. Our team uses cutting-edge technology, data analysis, and econometric modeling to drive business growth and value.
Job Summary
We're seeking an experienced Data Engineer to join our team and contribute to the development and support of our cloud-based data pipelines. As a Data Engineer, you'll work closely with our Choice Science, Client, and Innovation colleagues on various projects, including data pipeline design, development, and maintenance. Your expertise will help us deliver high-quality data products that meet the evolving needs of our clients.
Key Responsibilities
* Design and develop scalable, cloud-based data pipelines using ETL/ELT tools and technologies
- Collaborate with cross-functional teams to gather requirements, plan, and execute data pipeline projects
- Develop and maintain data pipelines, including data ingestion, processing, and delivery
- Ensure data quality, integrity, and security throughout the data pipeline lifecycle
- Work with data scientists and analysts to deliver high-quality data products and insights
- Develop and maintain automated workflows and schedulers to streamline data pipeline operations
- Collaborate with DevOps teams to ensure smooth deployment and maintenance of data pipelines
- Participate in code reviews and contribute to the development of best practices and standards for data engineering
Essential Qualifications
* Bachelor's degree in Computer Science, Mathematics, Engineering, or a related field
- 2+ years of experience in ELT/ETL data pipeline development and support
- Proficiency in Python and SQL, with experience working with Snowflake and PostgreSQL
- Experience with Docker, GitLab, and Windstream
- Strong understanding of data modeling and data warehousing concepts
- Experience working with large datasets and big data technologies, such as Snowflake, Databricks, or similar
Preferred Qualifications
* Experience working with cloud-based data platforms, such as AWS
- Proficiency in cloud design and product development
- Experience with source control tools, such as GitLab or GitHub
- Experience using Docker and containerization
- Familiarity with data visualization tools and technologies
- Experience working with data scientists and analysts to deliver high-quality data products and insights
What We Offer
* Competitive salary and benefits package
- Opportunity to work with a leading provider of innovative solutions for 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 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 for this role. We can't wait to hear from you! Apply Now! Apply for this job