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 player in the entertainment industry, we're constantly seeking talented individuals who share our passion for data-driven decision making. If you're a skilled data engineer with a passion for cloud-based data pipeline development and support, 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 built on a foundation of imagination, courage, and a commitment to excellence. We're proud to be a part of the Disney family, and we're dedicated to creating magical experiences for our guests around the world.
The Role
We're seeking an experienced data engineer to join our Data Engineering team at arenaflex. As a data engineer, you'll play a critical role in designing, developing, and supporting our cloud-based data pipelines. You'll work closely with our data science team to ensure that our data is accurate, reliable, and easily accessible. Your expertise will help us to drive business growth, improve operational efficiency, and create new opportunities for innovation.
Key Responsibilities
* Design, develop, and support cloud-based data pipelines using a range of technologies, including SQL, Python, Docker, and GitLab
- Collaborate with data scientists to ensure that our data is accurate, reliable, and easily accessible
- Develop and maintain automated workflows and data pipelines to support business operations
- Work with cross-functional teams to identify and prioritize data engineering projects
- Develop and maintain documentation for data engineering processes and procedures
- Participate in code reviews and ensure that code is well-documented and follows best practices
- Troubleshoot and resolve data engineering issues in a timely and efficient manner
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
- Strong expertise in Python and SQL, with a focus on cloud-based data platforms such as Snowflake and Databricks
- Experience with Docker, GitLab, and other DevOps tools
- Strong understanding of data modeling and data architecture
- Experience working with large datasets and big data technologies
Preferred Qualifications
* Experience working with cloud-based data platforms, such as AWS
- Experience with source control systems, such as GitLab or GitHub
- Experience with automated workflow management tools, such as Apache Airflow
- Strong understanding of data governance and data quality principles
- Experience with data visualization tools, such as Tableau or Power BI
What We Offer
* Competitive salary and benefits package
- Opportunity to work with a talented team of data engineers and data scientists
- Collaborative and dynamic work environment
- Professional development opportunities, including training and mentorship
- Flexible work arrangements, including remote work options
- Access to cutting-edge technologies and tools
- Recognition and rewards for outstanding performance
What We're Looking For
We're looking for a talented data engineer who is passionate about cloud-based data pipeline development and support. You should have a strong understanding of data engineering principles, as well as experience working with a range of technologies, including SQL, Python, Docker, and GitLab. You should be able to collaborate effectively with cross-functional teams, and have a strong understanding of data governance and data quality principles.
How to Apply
If you're a motivated and talented data engineer who is passionate about cloud-based data pipeline development and support, we want to hear from you! Please submit your resume and a cover letter explaining why you're the perfect fit for this role. We can't wait to hear from you! Apply Now! Apply for this job