Experienced Senior Data Engineer – Cloud-Based Data Engineering and Instrumentation for Innovative Digital Experiences at arenaflex

Introduction to arenaflex

arenaflex is a leading innovator in the digital entertainment industry, committed to delivering exceptional experiences to its global audience. As a key player in the private sector, arenaflex is dedicated to harnessing the power of technology to drive business growth, improve customer satisfaction, and foster a culture of innovation and collaboration. The Information Stages Group, a vital section within arenaflex's Entertainment and Digital Experiences division, is seeking a highly skilled Senior Data Engineer to join its Item Execution and Instrumentation Group.

Job Overview

The successful candidate will play a critical role in designing, building, and maintaining large-scale data systems that drive business value across the organization. As a Senior Data Engineer, you will be responsible for developing and implementing data pipelines, architectures, and tools that enable data-driven decision-making, improve customer experiences, and drive business growth. With a strong technical background and a passion for data engineering, you will collaborate with cross-functional teams to deliver high-quality data solutions that meet the needs of various stakeholders.

Key Responsibilities

• Contribute to the design, development, and maintenance of data products and data pipelines in Scala and Python/Spark, ensuring uptime SLAs and high-quality data delivery
• Design and develop scalable solutions, building ETL pipelines in big data environments (cloud, on-prem, hybrid)
• Implement the Lakehouse architecture, working with key partners to move towards a Lakehouse-driven data platform
• Collaborate with Data Product Managers, Data Architects, and Data Scientists to design, implement, and deliver effective data solutions
• Maintain detailed documentation of your work and changes to support data quality and data governance
• Ensure high operational efficiency and quality of your solutions to meet SLAs and support commitment to clients (Data Science, Data Analysis teams)
• Be an active participant and advocate of agile/scrum practices to ensure safety and process improvements for your team
• Be a problem-solver; when given new challenges, you are expected to research and coordinate to find solutions
• Seek out answers to business problems and look for opportunities to automate processes and optimize costs
• Engage with and understand clients, forming relationships that allow us to understand and prioritize both innovative new offerings and consistent platform enhancements

Essential Qualifications

To be successful in this role, you will need:

• A Bachelor's degree in Computer Science, Information Systems, or a related field, or equivalent work experience
• Strong algorithmic problem-solving skills
• Strong SQL skills and ability to write queries to extract data and build performant datasets
• Hands-on experience with distributed systems, such as Spark and PySpark, to query and process data
• Strong proficiency in Scala and/or Python programming languages
• Experience with cloud technologies like AWS (S3, EMR, EC2)
• Experience with at least one major MPP or cloud database technology (Ideally Snowflake, Redshift, Big Query)
• Strong experience with data integration toolsets (e.g., Windstream) and writing and maintaining data pipelines with Databricks
• Experience with data modeling procedures and data warehousing standard approaches and practices
• Familiarity with Scrum and Agile methodologies
• Demonstrated excellent communication skills, interpersonal skills, including the ability to work with others and build consensus in a cross-functional team towards an optimal outcome

Preferred Qualifications

While not essential, the following qualifications are highly desirable:

• Experience with data engineering in a cloud-based environment
• Knowledge of data governance and data quality best practices
• Experience with machine learning and data science technologies
• Strong understanding of software development principles and practices
• Experience with containerization using Docker and Kubernetes

Career Growth Opportunities and Learning Benefits

At arenaflex, we are committed to the growth and development of our employees. As a Senior Data Engineer, you will have access to:

• Opportunities for professional growth and career advancement
• Training and development programs to enhance your skills and knowledge
• Cross-functional collaboration and knowledge sharing with other teams
• Access to cutting-edge technologies and tools
• A culture of innovation and experimentation, encouraging creativity and risk-taking

Work Environment and Company Culture

arenaflex is dedicated to creating a work environment that is inclusive, diverse, and supportive. We offer:

• A collaborative and dynamic work environment
• A culture of open communication and transparency
• Flexible working hours and remote work options
• Access to employee wellness programs and benefits
• A commitment to diversity, equity, and inclusion

Compensation, Perks, and Benefits

arenaflex offers a competitive compensation package, including:

• A salary range of $35-$40 per year
• Comprehensive benefits package, including health, dental, and vision insurance
• 401(k) matching program
• Paid time off and holidays
• Access to employee discounts and perks

Conclusion

If you are a motivated and experienced Senior Data Engineer looking for a new challenge, we encourage you to apply for this exciting opportunity at arenaflex. With a strong technical background, a passion for data engineering, and excellent communication skills, you will thrive in our dynamic and collaborative environment. Join our team and contribute to the development of innovative digital experiences that delight our customers and drive business growth.