**Experienced Full Stack Data Engineer – Cloud and Big Data Application Development at arenaflex**

• *Join arenaflex, a leading entertainment and media company, as we seek a highly skilled and motivated Lead Data Engineer to join our dynamic team.**

• *About arenaflex**

arenaflex is a global leader in the entertainment and media industry, with a rich history of innovation and creativity. Our company is committed to delivering exceptional experiences to our customers, partners, and stakeholders through our diverse range of products and services. At arenaflex, we believe that data is the lifeblood of our business, and we are constantly seeking ways to harness its power to drive growth, improve efficiency, and enhance customer satisfaction.

• *Our Commitment to Data-Driven Decision Making**

Our Information and Investigation group for arenaflex Web-based features (DSS), a section under the Disney Diversion and ESPN Innovation (DE&ET), is responsible for collecting, processing, and analyzing vast amounts of data to inform our business decisions. We are seeking a highly skilled and motivated Lead Data Engineer to join our team and help us drive innovation and growth through data-driven insights.

• *Job Summary**

We are seeking an experienced Lead Data Engineer to join our team and lead the development of our data engineering capabilities. The successful candidate will be responsible for designing, building, and maintaining large-scale data processing systems, data warehouses, and data pipelines. The ideal candidate will have a strong technical foundation, excellent problem-solving skills, and a passion for working with big data technologies.

• *Key Responsibilities**

• Design and develop large-scale data processing systems, data warehouses, and data pipelines using cloud-based technologies such as AWS, Hadoop, and Snowflake.
• Collaborate with data scientists, data analysts, and other stakeholders to identify business requirements and develop data solutions that meet those needs.
• Develop and maintain detailed documentation of data systems, data models, and data pipelines to ensure data quality and data governance.
• Ensure high operational efficiency and quality of data solutions to meet Service Level Agreements (SLAs) and support obligations to our clients (Data Science, Data Analysis groups).
• Participate in agile/scrum practices to ensure team health and cycle improvements.
• Stay up-to-date with emerging trends and technologies in big data and cloud computing.

• *Essential Qualifications**

• Bachelor's degree in Computer Science, Information Technology, or related field.
• 5+ years of experience in data engineering, data science, or related field.
• Strong technical foundation in programming languages such as Python, Java, and Scala.
• Experience with big data technologies such as Hadoop, Spark, and NoSQL databases.
• Strong understanding of data modeling, data warehousing, and data governance.
• Experience with cloud-based technologies such as AWS, Azure, or Google Cloud Platform.
• Strong problem-solving skills and ability to work in a fast-paced environment.

• *Preferred Qualifications**

• Master's degree in Computer Science, Information Technology, or related field.
• 8+ years of experience in data engineering, data science, or related field.
• Experience with data visualization tools such as Tableau, Power BI, or D3.js.
• Strong understanding of machine learning algorithms and techniques.
• Experience with containerization technologies such as Docker and Kubernetes.
• Strong understanding of DevOps practices and tools such as Jenkins, Git, and SVN.

• *Skills and Competencies**

• Strong SQL skills and ability to write complex queries to extract insights from large datasets.
• Experience with data integration toolsets such as Apache NiFi and Apache Beam.
• Strong understanding of data governance and data quality principles.
• Ability to work in a fast-paced environment and prioritize multiple tasks and projects.
• Strong communication and collaboration skills to work with cross-functional teams.
• Strong problem-solving skills and ability to think critically and creatively.

• *Career Growth Opportunities and Learning Benefits**

arenaflex is committed to providing our employees with opportunities for growth and development. As a Lead Data Engineer, you will have the opportunity to work on high-impact projects, collaborate with cross-functional teams, and develop your skills and expertise in big data and cloud computing. We also offer a range of training and development programs to help you achieve your career goals.

• *Work Environment and Company Culture**

arenaflex is a dynamic and innovative company that values creativity, collaboration, and continuous learning. Our company culture is built on a foundation of respect, empathy, and open communication. We offer a range of benefits and perks to support our employees' physical and mental well-being, including flexible work arrangements, on-site fitness classes, and access to mental health resources.

• *Compensation, Perks, and Benefits**

arenaflex offers a competitive compensation package, including a base salary, bonus structure, and comprehensive benefits program. Our benefits package includes medical, dental, and vision insurance, 401(k) matching, and paid time off. We also offer a range of perks and benefits, including flexible work arrangements, on-site fitness classes, and access to mental health resources.

• *How to Apply**

If you are 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 look forward to hearing from you!