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

Remote Full-time
At arenaflex, we're on a mission to revolutionize the way we approach data-driven decision-making. As a seasoned data engineer, you'll play a pivotal role in shaping our data analytics and science landscape, driving innovation, and empowering our teams to make data-informed decisions. If you're passionate about harnessing the power of data to drive business growth and transformation, we want to hear from you. **About arenaflex** arenaflex is a leading global retailer, known for its commitment to quality, innovation, and customer satisfaction. With a rich history of success, we've established ourselves as a trusted partner in the retail industry. Our culture is built on a foundation of collaboration, creativity, and a passion for excellence. We're dedicated to fostering a workplace that's inclusive, diverse, and supportive of our employees' growth and development. **Job Summary** As a Principal Engineer – Data Analytics & Science, you'll lead a team of specialists, providing technical guidance, mentorship, and support in data examination and detailing. You'll be responsible for driving the development of our data analytics and science capabilities, ensuring that our data-driven approach is aligned with business objectives. Your expertise will be instrumental in shaping our data strategy, driving innovation, and empowering our teams to make data-informed decisions. **Key Responsibilities** * **Lead and Coach a Team of Specialists**: Provide technical guidance, mentorship, and support to a team of specialists, fostering a culture of continuous learning and development. * **Drive Modern Programming Practices**: Stay up-to-date with the latest programming practices, ensuring that our codebase is maintainable, scalable, and secure. * **Design and Implement Data Systems**: Collaborate with cross-functional teams to design and implement data systems, ensuring that they are modular, secure, and easily observable. * **Develop Top-Tier Designing**: Ensure that our services and components are clear, modular, secure, diagnosable, and reusable. * **Improve Test Coverage**: Develop and implement test plans, ensuring that our services are thoroughly tested and validated. * **Drive Business Value**: Focus on business needs through a data-driven approach, providing insights and recommendations to drive business growth and transformation. * **Investigate and Improve Automation**: Investigate opportunities for automation, ensuring that our processes are efficient, reliable, and scalable. * **Set the Vision for Data Examination**: Define and drive the strategic direction of our data examination and reporting capabilities, ensuring that they align with business objectives. * **Develop Complex Data Models**: Design, develop, and implement complex data models and reporting structures, ensuring that they are scalable, maintainable, and secure. * **Drive Data Science and Analytics**: Develop and implement data science and analytics capabilities, ensuring that they are aligned with business objectives and drive business value. * **Collaborate with Cross-Functional Teams**: Work closely with data scientists, business analysts, data engineers, and IT experts to develop comprehensive data solutions. * **Cultivate a Collaborative Culture**: Foster a culture of collaboration, information sharing, and expertise development, leading technical authority meetings and lunch-and-learn sessions. **Essential Qualifications** * **15+ Years of Experience in Data Examination and Reporting**: Proven track record of success in data examination and reporting, with a strong understanding of data-driven decision-making. * **5+ Years of Experience in Leadership or Senior Roles**: Demonstrated ability to lead and guide teams, with a strong understanding of technical leadership and management. * **5+ Years of Experience with Cloud Advancements**: Proven experience working with cloud technologies, including ADLS, Azure Databricks, and other large data innovations. * **Advanced Skills in Data Examination Tools and Languages**: Strong proficiency in data examination tools, languages, ML, and systems, including Conos, PowerBI, SQL, Python, and R. * **Experience with Data Representation Tools**: Strong experience working with data representation tools, including Tableau, Power BI, or similar tools. * **Strong Understanding of Cloud Stages**: Proven experience working with cloud stages, including AWS, Azure, or Google Cloud, to design and implement adaptable and efficient data examination solutions. * **In-Depth Knowledge of Lakehouse Design Standards**: Strong understanding of lakehouse design standards, combining the best of data lakes and data warehouses for powerful and adaptable data management. * **High-Level SQL Abilities**: Strong proficiency in SQL, with a deep understanding of social databases and business data capacity to write complex SQL queries against multiple data sources. * **Experience Managing High-Volume Data Streams**: Proven 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. **Preferred Qualifications** * **Master's or Graduate Degree in Software Engineering, Informatics, Data Science, or Related Discipline**: Strong educational background in a related field, with a focus on data science, software engineering, or informatics. * **Relevant Industry Certifications**: Relevant industry certifications, such as Certified Data Scientist or Certified Analytics Professional. * **Experience in Retail, Manufacturing, E-commerce, or Supply Chain**: Proven experience working in retail, manufacturing, e-commerce, or supply chain, with a strong understanding of industry-specific challenges and opportunities. **Compensation and Benefits** * **Competitive Salary**: $160,000 - $230,000 per year, depending on experience and qualifications. * **Comprehensive Benefits Package**: Includes medical, dental, vision, hearing aid, pharmacy, social health, employee assistance, healthcare reimbursement account, dependent care assistance, short-term disability, and long-term disability insurance. * **Stock Options and Restricted Stock Units**: Eligible for stock options and restricted stock units, depending on performance and qualifications. * **401(k) and Stock Purchase Plan**: Eligible for 401(k) and stock purchase plan, with company matching contributions. **How to Apply** If you're a seasoned data engineer with a passion for driving innovation and business growth, we want to hear from you. Please submit your application, including your resume and a cover letter, to [insert contact information]. We can't wait to hear from you! Apply for this job
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