Experienced Data Engineer – Cloud-Based Data Pipelines and Analytics
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 Engineering 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 using technology and data to drive business growth, improve customer experiences, and create new opportunities for our employees.
The Data Engineering Team
Our Data Engineering team is responsible for designing, building, and maintaining the data pipelines and analytics systems that power our business. We work closely with cross-functional teams to develop and deploy data-driven solutions that drive business value and improve customer experiences. As a Data Engineer on our team, you'll have the opportunity to work on a wide range of projects, from data warehousing and ETL/ELT pipelines to data visualization and machine learning.
Job Summary
We're seeking an experienced Data Engineer to join our team and help us drive business growth and innovation through data-driven solutions. As a Data Engineer, you'll be responsible for designing, building, and maintaining cloud-based data pipelines and analytics systems that power our business. You'll work closely with cross-functional teams to develop and deploy data-driven solutions that drive business value and improve customer experiences.
Key Responsibilities
* Design, build, and maintain cloud-based data pipelines and analytics systems using technologies such as Snowflake, PostgreSQL, Python, and Docker
- Develop and deploy data-driven solutions that drive business value and improve customer experiences
- Collaborate with cross-functional teams to develop and deploy data-driven solutions
- Work with large datasets and large-scale data processing technologies, such as Snowflake, Databricks, or similar
- Develop and maintain automated workflows and schedulers to ensure data quality and integrity
- Provide data engineering support and guidance to other teams and stakeholders
- Stay up-to-date with the latest trends and 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 creating and maintaining automated workflows and schedulers
- Strong understanding of data modeling and data governance
- Experience working with cloud-based technologies, such as AWS
Preferred Qualifications
* Experience working with large datasets and large-scale data processing technologies, such as Snowflake, Databricks, or similar
- Proficiency in cloud design and product contributions, ideally AWS
- Experience overseeing and deploying code using a source control item like GitLab/GitHub
- Experience using Docker
What We Offer
* Competitive salary and benefits package
- Opportunity to work on a wide range of projects and technologies
- Collaborative and dynamic work environment
- Professional development and growth opportunities
- Flexible work arrangements and 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 want to hear from you! Please submit your resume and a cover letter explaining why you're the perfect fit for this role. Apply for this job