**Experienced Full Stack Data Engineer – Web & Cloud Application Development**

• *Join arenaflex in shaping the future of food delivery and beyond**

At arenaflex, we're revolutionizing the way people access food and other essential products. As a leading technology and strategy company, we're committed to empowering local economies and creating a seamless experience for our customers, from Dashers to merchant partners to consumers. We're seeking a highly skilled and motivated Staff Data Engineer to join our team and help us scale our data infrastructure, automation, and tools to meet our growing business needs.

• *About the Group**

Information is at the foundation of arenaflex's success. Our Data Engineering team designs and builds data pipelines, data warehouse structures, and data lake solutions to support various use cases, including analytics, product development, marketing optimization, and financial reporting. By executing pipelines, data designs, and data warehouse structures, this team serves as the backbone for decision-making at arenaflex.

• *About the Job**

arenaflex is looking for a Staff Data Engineer to be a key contributor to our data engineering team. As a Staff Data Engineer, you will work closely with colleagues and partners to understand data requirements, collaborate with design, product, and external teams to gather required data, and design, build, and execute large-scale, high-volume, high-performance data models and pipelines for our Data Lake and Data Warehouse. You will also build reusable architectures that improve the reliability and flexibility of our ETLs, manage a set of data products that deliver high-quality, reliable data, and mentor and train colleagues to improve their skills and designs.

• *Key Responsibilities:**

• Work with colleagues and partners to understand data requirements and collaborate with design, product, and external teams to gather required data
• Design, build, and execute large-scale, high-volume, high-performance data models and pipelines for our Data Lake and Data Warehouse
• Build reusable architectures that improve the reliability and flexibility of our ETLs
• Manage a set of data products that deliver high-quality, reliable data
• Mentor and train colleagues to improve their skills and designs
• Collaborate with cross-functional teams to identify and prioritize data engineering projects and initiatives

• *Essential Qualifications:**

• 3+ years of professional experience in data engineering, business intelligence, or a related field
• Strong proficiency in programming languages such as Python and Java
• 3+ years of experience working with ETL tools and workflow management tools like Apache NiFi, Apache Beam, Apache Airflow, and Apache Spark
• Master's degree in Data Science, Computer Science, or a related field
• Experience working with distributed computing and big data technologies like Hadoop, Spark, and NoSQL databases
• Strong understanding of data warehousing, data lake, and data governance concepts
• Experience working with cloud-based data platforms like Amazon Web Services (AWS) and Google Cloud Platform (GCP)

• *Preferred Qualifications:**

• Experience working with data visualization tools like Tableau, Power BI, and D3.js
• Strong understanding of machine learning and artificial intelligence concepts
• Experience working with containerization tools like Docker and Kubernetes
• Strong understanding of DevOps and continuous integration/continuous deployment (CI/CD) concepts
• Experience working with cloud-based data platforms like Amazon Web Services (AWS) and Google Cloud Platform (GCP)

• *Skills and Competencies:**

• Strong analytical and problem-solving skills
• Excellent communication and collaboration skills
• Strong attention to detail and ability to work in a fast-paced environment
• Ability to think critically and make data-driven decisions
• Strong understanding of data engineering principles and best practices
• Experience working with agile development methodologies and version control systems like Git

• *Career Growth Opportunities and Learning Benefits:**

• arenaflex offers a comprehensive training program to help you develop your skills and advance your career
• Opportunities to work on high-impact projects and contribute to the growth and success of the company
• Collaborative and dynamic work environment with a team of experienced professionals
• Access to cutting-edge technologies and tools to stay up-to-date with industry trends and best practices
• Opportunities for professional growth and development through mentorship, training, and career advancement

• *Work Environment and Company Culture:**

• arenaflex is a fast-paced and dynamic company that values innovation, creativity, and collaboration
• Our team is passionate about using technology to make a positive impact on people's lives
• We offer a comprehensive benefits package, including medical, dental, and vision insurance, 401(k) matching, and paid time off
• arenaflex is committed to diversity, equity, and inclusion and strives to create a workplace that is welcoming and inclusive for all employees

• *Compensation, Perks, and Benefits:**

• Competitive salary range: $120,000 - $180,000 per year
• Comprehensive benefits package, including medical, dental, and vision insurance, 401(k) matching, and paid time off
• Opportunities for professional growth and development through mentorship, training, and career advancement
• Access to cutting-edge technologies and tools to stay up-to-date with industry trends and best practices
• Collaborative and dynamic work environment with a team of experienced professionals

• *How to Apply:**

If you're passionate about data engineering and want to join a dynamic and innovative company, please submit your application through our website. We can't wait to hear from you!