**Experienced Data Engineer – Cloud-Based Data Pipeline Development and Support**
At arenaflex, we're on a mission to revolutionize the way we approach data-driven decision-making. As a leading innovator in the entertainment industry, we're constantly pushing the boundaries of what's possible with data science and engineering. We're now seeking an experienced Data Engineer to join our Data Designing (DE) team, where you'll play a critical role in developing and supporting cloud-based data pipelines for our Media business. **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, curiosity, and a passion for storytelling. We're committed to delivering exceptional experiences to our customers, and we're always looking for talented individuals who share our vision. **The Data Designing (DE) Team** The DE team is a dynamic and collaborative group of data professionals who work closely with Choice Science, Client, and Innovation colleagues to design and develop data-driven solutions for our business. We're responsible for creating and maintaining data pipelines, data sets, and analytics platforms that support our Media business. Our team is passionate about using data to drive business value and make informed decisions. **Job Summary** As a Data Engineer on our DE team, you'll be responsible for designing, developing, and supporting cloud-based data pipelines for our Media business. You'll work closely with our Choice Science team to gather requirements, design data pipelines, and implement data sets and analytics platforms. You'll also collaborate with our Client and Innovation teams to ensure that our data solutions meet the needs of our business stakeholders. **Key Responsibilities** * Design and develop cloud-based data pipelines using SQL, Python, and other relevant technologies * Gather requirements from Choice Science team and design data pipelines to meet business needs * Implement data sets and analytics platforms using ETL/ELT tools and data visualization technologies * Collaborate with Client and Innovation teams to ensure that data solutions meet business needs * Develop and maintain automated work schedulers to ensure data pipeline efficiency * Troubleshoot and resolve data pipeline issues in a timely and efficient manner * Stay up-to-date with industry trends and emerging technologies in data engineering and science **Essential Qualifications** * Bachelor's degree in Software Engineering, Mathematics, Computer Science, 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 data platforms like Snowflake and Databricks * Experience with creating and maintaining automated work schedulers * Strong understanding of data set design and data modeling * Experience working with large datasets and big data technologies **Preferred Qualifications** * Experience working with cloud-based data platforms like Snowflake, Databricks, or similar * Proficiency in cloud design and product development, ideally with AWS * Experience with source control tools like GitLab or GitHub * Experience with Docker and containerization **What We Offer** * Competitive salary and benefits package * Opportunity to work with a leading innovator in the entertainment industry * 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 professional 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! Apply Now! **arenaflex is an equal opportunities employer and welcomes applications from diverse candidates. We are committed to creating an inclusive and supportive work environment that values diversity, equity, and inclusion.** Apply for this job