**Experienced Full Stack 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 key member of our Data Engineering team, you'll play a critical role in designing and developing scalable, cloud-based data pipelines that enable our business leaders to make data-driven decisions.

• *About arenaflex**

arenaflex is a leading global entertainment and media conglomerate, home to some of the world's most beloved brands, including Disney, Pixar, Marvel, Star Wars, and ESPN. Our company is built on a rich legacy of innovation, creativity, and a passion for storytelling. With a diverse range of businesses and a global presence, we're constantly seeking talented individuals who share our vision and values.

• *Job Summary**

We're seeking an experienced Full Stack Data Engineer to join our Data Engineering team at arenaflex. As a key member of this team, you'll be responsible for designing, developing, and supporting cloud-based data pipelines that enable our business leaders to make data-driven decisions. You'll work closely with our Data Science, Analytics, and Business teams to develop and maintain data pipelines, ensuring that our data is accurate, reliable, and secure.

• *Key Responsibilities**

• Design and develop scalable, cloud-based data pipelines using technologies such as Snowflake, PostgreSQL, Python, and Docker
• Collaborate with Data Science, Analytics, and Business teams to develop and maintain data pipelines, ensuring that our data is accurate, reliable, and secure
• Develop and maintain ETL/ELT data pipelines, data set design, and data visualization strategies
• Work with large datasets and big data technologies, such as Snowflake, Databricks, or similar
• Develop and maintain automated workflow schedulers using tools such as Docker and GitLab
• Collaborate with cross-functional teams to identify and prioritize data engineering projects and initiatives
• Develop and maintain documentation for data pipelines, data sets, and data visualization strategies
• Participate in code reviews and ensure that code is maintainable, scalable, and secure

• *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
• Proficiency in Python and SQL (ideally with Snowflake)
• Experience with cloud-based data technologies, such as Snowflake, Databricks, or similar
• Experience with Docker and GitLab
• Experience with data set design and data visualization strategies
• Strong understanding of data security and compliance

• *Preferred Qualifications**

• Experience working with large datasets and big data technologies
• Proficiency in cloud design and product contributions, ideally AWS
• Experience with source control tools, such as GitLab or GitHub
• Experience with data warehousing and business intelligence tools
• Experience with data governance and compliance

• *What We Offer**

• Competitive salary and benefits package
• Opportunity to work with a global entertainment and media conglomerate
• 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 cover letter to [insert contact information]. We can't wait to hear from you!

• *About arenaflex**

arenaflex is an equal opportunities employer and welcomes applications from diverse candidates. We are committed to creating a workplace that is inclusive, respectful, and supportive of all employees. If you require accommodations during the application or interview process, please let us know.

• *arenaflex is an equal opportunities employer and welcomes applications from diverse candidates.**