Experienced Full Stack Data Engineer – Cloud Data Analytics & Science

Join arenaflex, a leading retail and e-commerce company, in shaping the future of data-driven decision-making. As a Principal Engineer in Data Analytics & Science, you will play a pivotal role in driving the company's data strategy, leading a team of experts, and developing cutting-edge data solutions.

About arenaflex

arenaflex is a multinational retail corporation that operates a chain of membership-based warehouses and e-commerce platforms. With a strong commitment to innovation and customer satisfaction, arenaflex has become a leader in the retail industry. Our company culture values collaboration, continuous learning, and a passion for excellence. We are dedicated to creating a workplace that fosters growth, creativity, and innovation.

Job Summary

We are seeking an experienced and visionary Principal Engineer in Data Analytics & Science to join our team. As a key member of our data leadership team, you will be responsible for developing and implementing data-driven solutions that drive business growth, improve operational efficiency, and enhance customer experience. Your expertise in data engineering, analytics, and science will help shape the company's data strategy, inform business decisions, and drive innovation.

Key Responsibilities

* Lead and Coach a Team of Experts: As a Principal Engineer, you will lead a team of data engineers, analysts, and scientists, providing guidance, mentorship, and technical direction to ensure the success of data-driven projects.

• Develop and Implement Data Solutions: You will design, develop, and deploy data solutions that meet business needs, leveraging cloud-based technologies, big data platforms, and advanced analytics tools.
• Drive Data Strategy: You will collaborate with cross-functional teams to develop and implement data-driven strategies that drive business growth, improve operational efficiency, and enhance customer experience.
• Ensure Data Quality and Security: You will develop and implement data quality and security processes to ensure the integrity, accuracy, and confidentiality of data.
• Stay Up-to-Date with Emerging Trends: You will stay current with emerging trends and technologies in data engineering, analytics, and science, evaluating their potential impact on the company's data strategy.
• Collaborate with Cross-Functional Teams: You will work closely with data researchers, business analysts, data engineers, and IT experts to develop comprehensive data solutions that meet business needs.
• Develop and Maintain Documentation: You will create and maintain documentation for data engineering processes, analytics models, and data science projects to ensure knowledge sharing and reuse.

Essential Qualifications

* 15+ Years of Experience in Data Engineering and Analytics: You must have a proven track record of success in data engineering, analytics, and science, with a minimum of 15 years of experience in the field.

• 5+ Years of Leadership Experience: You must have at least 5 years of experience in leadership or senior roles, demonstrating the ability to guide and lead a team.
• Cloud Experience: You must have experience working with cloud-based technologies, such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP).
• Big Data Experience: You must have experience working with big data platforms, such as Hadoop, Spark, or NoSQL databases.
• Advanced Analytics Skills: You must have advanced skills in data analysis, machine learning, and data visualization tools, such as Python, R, SQL, and Tableau.
• Strong Communication and Collaboration Skills: You must have excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.

Preferred Qualifications

* Master's or Ph.D. in Computer Science, Informatics, Data Science, or Related Field: A master's or Ph.D. in computer science, informatics, data science, or a related field is preferred.

• Industry Certifications: Relevant industry certifications, such as Certified Data Scientist (CDS) or Certified Analytics Professional (CAP), are a plus.
• Experience in Retail, Manufacturing, E-commerce, or Supply Chain: Experience in retail, manufacturing, e-commerce, or supply chain is highly desirable.

Compensation and Benefits

* Salary Range: $160,000 - $230,000 per year

• Stock Options and Restricted Stock Units: Eligible for stock options and restricted stock units
• Comprehensive Benefits Package: Includes medical, dental, vision, hearing aid, pharmacy, social security, and employee assistance programs
• 401(k) and Stock Purchase Plan: Eligible for 401(k) and stock purchase plan
• Flexible Work Arrangements: Flexible work arrangements, including remote work options

How to Apply

If you are a motivated and experienced data professional looking for a challenging and rewarding opportunity, please submit your application through our website. We look forward to hearing from you! Apply for this job