**Experienced Full Stack Data Engineer – Cloud Data Analytics & Science**

At arenaflex, we're on a mission to revolutionize the way we approach data-driven decision-making. As a leading innovator in the industry, we're seeking an exceptional Full Stack Data Engineer to join our team and help shape the future of data analytics and science. If you're a seasoned professional with a passion for data engineering, leadership, and innovation, we want to hear from you.

• *About arenaflex**

arenaflex is a forward-thinking organization that's dedicated to harnessing the power of data to drive business growth and success. With a strong focus on innovation, collaboration, and customer satisfaction, we're constantly pushing the boundaries of what's possible in the world of data analytics and science. Our team is comprised of talented individuals from diverse backgrounds, all united by a shared passion for data-driven insights and a commitment to excellence.

• *Job Summary**

As a Full Stack Data Engineer at arenaflex, you'll play a critical role in designing, developing, and deploying scalable data analytics and science solutions that drive business value and growth. You'll work closely with cross-functional teams, including data scientists, business analysts, and IT experts, to develop and implement cutting-edge data solutions that meet the evolving needs of our organization. Your expertise will be instrumental in shaping the future of data analytics and science at arenaflex, and we're excited to have you join our team.

• *Key Responsibilities**

• Lead and coach a team of data engineers, providing technical guidance, mentorship, and support in the development of data analytics and science solutions.
• Collaborate with data scientists, business analysts, and IT experts to design, develop, and deploy scalable data analytics and science solutions that meet business needs.
• Develop and maintain complex data models and reporting structures, ensuring data integrity, security, and performance.
• Drive the development and implementation of data governance policies and procedures, ensuring data quality, security, and compliance.
• Stay up-to-date with emerging technologies and trends in data analytics and science, evaluating their relevance and potential impact on our organization.
• Collaborate with cross-functional teams to develop and implement data-driven solutions that drive business growth and success.
• Develop and maintain documentation for data analytics and science processes, including data models, reporting structures, and data governance policies.
• Conduct data quality assessments and implement measures to improve data accuracy, completeness, and timeliness.
• Develop and maintain data visualization tools and dashboards to support business decision-making.
• Collaborate with IT teams to develop and implement data integration and ETL processes.
• Develop and maintain data security and compliance policies and procedures, ensuring data integrity and confidentiality.

• *Essential Qualifications**

• 15+ years of active experience in data analytics and science, with a strong background in data engineering, data governance, and data security.
• 5+ years of experience in leadership or senior roles, demonstrating the ability to guide and lead a team.
• 5+ years of experience working with cloud technologies, including ADLS, Azure Databricks, AWS, Google Cloud, and other large data innovations.
• Advanced proficiency in data analytics tools, languages, ML, and systems, including Conos, PowerBI, SQL, Python, R, and other relevant technologies.
• Experience working with data representation tools, such as Tableau, Power BI, or similar tools, to effectively communicate insights.
• Strong understanding of cloud stages, including AWS, Azure, and Google Cloud, to design and execute adaptable and productive data analytics and science solutions.
• In-depth knowledge of Lakehouse design standards, combining the best of data lakes and data warehouses for efficient and adaptable data management.
• High-level SQL skills, with a strong understanding of social databases and business data storage to write complex SQL queries against multiple data sources.
• Experience managing high-volume and high-speed data streams, and designing systems that can handle the demands of real-time or near-real-time analysis.
• Experience in shaping the essential vision for data analytics and science drives within an organization.
• Effective management of data analytics projects, including planning, execution, and delivery.
• Demonstrated ability to drive growth, adapt to emerging technologies, and execute industry best practices.
• Strong critical thinking and problem-solving skills.

• *Preferred Qualifications**

• Bachelor's or Master's degree in Software Engineering, Informatics, Data Science, or related technical discipline.
• Relevant industry certifications are a plus.
• Experience in retail, manufacturing, e-commerce, or supply chain industries.

• *Compensation and Benefits**

• Competitive salary range: $160,000 - $230,000
• Comprehensive benefits package, including medical, dental, vision, hearing aid, pharmacy, social health, employee assistance, health savings account, dependent care assistance, short-term disability, and long-term disability insurance.
• 401(k) plan and stock purchase plan for eligible employees.

• *How to Apply**

If you're 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 a cover letter outlining your experience, qualifications, and interest in the position. We can't wait to hear from you!

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