Experienced Full Stack Data Engineer – Web & Cloud Application Development

At arenaflex, we're on a mission to revolutionize the way people consume entertainment and connect with each other. As a leading innovator in the industry, we're constantly pushing the boundaries of what's possible with technology. We're now seeking an experienced Full Stack Data Engineer to join our team and help us drive success in our rapidly growing business.

About arenaflex

arenaflex is the world's leading entertainment streaming service, with over 220+ million subscribers in more than 190 countries. We're committed to delivering high-quality content across a wide range of genres and languages, and we're constantly innovating to improve our services and meet the evolving needs of our customers. With the recent addition of an ad-supported tier to our business, we're expanding our reach to an even broader audience and creating new opportunities for growth and development.

The Role

As a Full Stack Data Engineer at arenaflex, you'll be a key member of our Information Designing team, which sits at the heart of building an information ecosystem that drives our understanding and decision-making about the impact of advertising on our business. You'll work closely with our Promotions team to design and implement rich, connected, and easily accessible information about ad inventories, targeting, and more. This information will be used across various business areas and capabilities, from educational analysis to feature development for statistical models.

Key Responsibilities

* Design and implement core information models that our Promotions capabilities use to address business questions

• Collaborate with partners to identify needs, model tables using programming and data warehouse best practices, and develop information pipelines to ensure the timely delivery of high-quality information
• Work with Examination Architects, Information Researchers, and Computer Programmers to create data indexes that will serve analysis and reporting needs intuitively
• Develop recommended procedures for the management of data indexes with sensitive data
• Build strong and collaborative relationships with data researchers, analysis specialists, and AI experts

Essential Qualifications

* Bachelor's degree in Computer Science, Information Technology, or related field

• 3+ years of experience in data engineering, with a focus on building data pipelines and data modeling
• Strong understanding of data warehousing, data modeling, and data transformation for both batch and streaming data
• Experience with large-scale data technologies, including Hadoop, Flash, Pig, Hive, Voila, and more
• Proficiency in programming languages, including SQL and Python
• Experience with obtaining and displaying data from application APIs
• Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams

Preferred Qualifications

* Experience with cloud-based data platforms, such as Amazon Web Services (AWS) or Google Cloud Platform (GCP)

• Knowledge of data governance and data quality best practices
• Experience with data visualization tools, such as Tableau or Power BI
• Familiarity with agile development methodologies and continuous integration/continuous deployment (CI/CD) pipelines
• Certification in data engineering or related field

Skills and Competencies

* Strong analytical and problem-solving skills, with the ability to break down complex problems into manageable components

• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams
• Strong attention to detail and ability to deliver high-quality results in a fast-paced environment
• Ability to adapt to changing priorities and deadlines, with a focus on delivering results under pressure
• Strong passion for data engineering and a desire to continuously learn and improve skills

Career Growth Opportunities and Learning Benefits

At arenaflex, we're committed to helping our employees grow and develop their careers. As a Full Stack Data Engineer, you'll have opportunities to work on high-impact projects, collaborate with cross-functional teams, and develop your skills in areas such as data engineering, data modeling, and data transformation. We also offer a range of learning benefits, including:

• Access to online training platforms and courses
• Opportunities for mentorship and coaching
• Participation in hackathons and innovation challenges
• Collaboration with industry experts and thought leaders

Work Environment and Company Culture

arenaflex is a dynamic and innovative company that values diversity, equity, and inclusion. We're committed to creating a work environment that's inclusive, supportive, and empowering, with a focus on collaboration, creativity, and continuous learning. Our company culture is built around a set of core values, including:

• Innovation: We're committed to pushing the boundaries of what's possible with technology and innovation.
• Collaboration: We believe in the power of collaboration and teamwork to drive success.
• Customer Focus: We're passionate about delivering high-quality products and services that meet the evolving needs of our customers.
• Diversity, Equity, and Inclusion: We're committed to creating a work environment that's inclusive, supportive, and empowering for all employees.

Compensation, Perks, and Benefits

arenaflex offers a competitive compensation package, including a salary range of $100,000 - $150,000 per year, depending on experience. We also offer a range of benefits, including:

• Comprehensive health insurance
• 401(k) matching program
• Flexible paid time off
• Access to on-site fitness center and wellness programs
• Free meals and snacks
• Professional development opportunities

How to Apply

If you're a motivated and experienced Full Stack Data Engineer looking for a new challenge, we encourage you to apply for this role. Please submit your resume and cover letter, highlighting your relevant experience and skills. We can't wait to hear from you! Apply To This Job Apply for this job