**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 data-driven innovation at arenaflex.

• *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 creativity, innovation, and a passion for storytelling. We're committed to pushing the boundaries of what's possible and creating experiences that inspire, entertain, and connect people around the world.

• *Job Summary**

We're seeking an experienced Data Engineer to join our Data Engineering team at arenaflex. As a Data Engineer, you'll be responsible for designing, developing, and maintaining large-scale data pipelines and systems that support our business operations. You'll work closely with cross-functional teams to identify data requirements, design and implement data pipelines, and ensure the quality and integrity of our data assets.

• *Key Responsibilities**

• Design and develop large-scale data pipelines and systems using cloud-based technologies such as Snowflake, Databricks, and AWS
• Collaborate with data scientists, analysts, and business stakeholders to identify data requirements and design data pipelines that meet their needs
• Develop and maintain ETL/ELT data pipelines using Python, SQL, and other programming languages
• Ensure data quality and integrity by implementing data validation, data cleansing, and data transformation processes
• Work with data architects to design and implement data warehouses, data lakes, and other data storage solutions
• Develop and maintain automated workflows and scripts to support data pipeline operations
• Collaborate with DevOps teams to ensure smooth deployment and operation of data pipelines
• Troubleshoot and resolve data pipeline issues and errors in a timely and efficient manner

• *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, with experience using Snowflake and PostgreSQL
• Experience with cloud-based technologies such as AWS, Azure, or Google Cloud
• Experience with containerization using Docker
• Experience with source control systems such as GitLab or GitHub
• Strong understanding of data modeling and data architecture principles

• *Preferred Qualifications**

• Experience working with large datasets and big data technologies such as Hadoop, Spark, or NoSQL databases
• Experience with data warehousing and business intelligence tools such as Tableau or Power BI
• Experience with machine learning and artificial intelligence technologies such as TensorFlow or PyTorch
• Experience with cloud-based data storage solutions such as Amazon S3 or Google Cloud Storage
• Experience with data governance and data security best practices

• *What We Offer**

• Competitive salary and benefits package
• Opportunity to work on high-impact projects that drive business growth and innovation
• Collaborative and dynamic work environment with a team of experienced professionals
• Opportunities for career growth and professional development
• 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!