**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 and create unparalleled experiences for our customers. As a key member of our Data Engineering team, you'll play a critical role in shaping the future of our Media business by designing and developing innovative data pipelines and solutions.

• *About arenaflex**

arenaflex is a leading entertainment and media conglomerate, home to some of the most beloved brands in the world, including Disney, Pixar, Marvel, Star Wars, and more. Our company is built on a rich legacy of innovation, creativity, and a passion for storytelling. We're committed to pushing the boundaries of what's possible and creating new experiences that captivate and inspire audiences around the globe.

• *About the Role**

We're seeking an experienced Data Engineer to join our team and help us drive business value through data-driven insights. As a Data Engineer, you'll be responsible for designing, developing, and maintaining large-scale data pipelines and systems that support our Media business. You'll work closely with cross-functional teams, including Data Science, Product, and Engineering, to ensure that our data solutions meet the needs of our business stakeholders.

• *Key Responsibilities**

• Design and develop large-scale data pipelines and systems using cloud-based technologies such as Snowflake, Databricks, and AWS
• Collaborate with Data Science teams to develop and deploy data models and machine learning algorithms
• Develop and maintain ETL/ELT pipelines using Python, SQL, and other programming languages
• Design and implement data governance and quality control processes to ensure data accuracy and integrity
• Work with cross-functional teams to identify business requirements and develop data solutions that meet those needs
• Develop and maintain automated workflows and scripts to streamline data processing and delivery
• Collaborate with DevOps teams to ensure that data systems are scalable, secure, and highly available

• *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, with a focus on cloud-based databases such as Snowflake and PostgreSQL
• Experience with containerization using Docker and orchestration using Kubernetes
• Experience with source control systems such as GitLab and GitHub
• Strong understanding of data governance and quality control principles

• *Preferred Qualifications**

• Experience working with large datasets and big data technologies such as Hadoop and Spark
• Proficiency in cloud design and deployment using AWS
• Experience with data visualization tools such as Tableau and Power BI
• Experience with machine learning frameworks such as TensorFlow and PyTorch
• Strong understanding of data architecture and design principles

• *What We Offer**

• Competitive salary and benefits package
• Opportunity to work with a leading entertainment and media company
• 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 the role. We can't wait to hear from you!