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

**Join arenaflex, a leading global retailer, in shaping the future of data analytics and driving business growth** **About arenaflex** arenaflex is a multinational retailer with a reputation for excellence, innovation, and customer satisfaction. As one of the world's largest retailers, we strive to provide a family-oriented work environment where our employees thrive and succeed. Our commitment to excellence has earned us a spot in Forbes' "World's Best Bosses" list, ranking seventh globally. We are now seeking an experienced Full Stack Data Engineer to join our team and contribute to the development of our data analytics capabilities. **Job Summary** We are seeking a highly skilled Full Stack Data Engineer to design, develop, and operationalize data pipelines that drive business insights and decision-making. As a key member of our data engineering team, you will work closely with data architects, data scientists, and business stakeholders to create scalable, efficient, and reliable data pipelines. Your expertise in cloud-based technologies, data warehousing, and data lakes will enable us to unlock new business opportunities and drive growth. **Key Responsibilities** * Design and develop data pipelines to extract, transform, and load (ETL) data from various sources, including relational databases, NoSQL databases, and cloud-based storage systems. * Collaborate with data architects to design and implement data models, data warehouses, and data lakes that meet business requirements. * Develop and maintain data pipelines using cloud-based technologies, such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP). * Work with data scientists to develop and deploy machine learning models that drive business insights and decision-making. * Ensure data quality, integrity, and security by implementing data validation, data cleansing, and data encryption techniques. * Develop and maintain data visualizations and reports using business intelligence tools, such as Tableau, Power BI, or QlikView. * Collaborate with cross-functional teams to identify business requirements and develop data-driven solutions. * Stay up-to-date with emerging technologies and trends in data engineering and analytics. **Essential Qualifications** * Bachelor's degree in Computer Science, Engineering, or a related field. * 3+ years of experience in data engineering, data warehousing, and data lakes. * Strong understanding of cloud-based technologies, including AWS, Azure, or GCP. * Experience with data modeling, data warehousing, and data lakes. * Proficiency in programming languages, such as Java, Python, or Scala. * Strong understanding of data integration technologies, including ETL, ELT, and data virtualization. * Experience with data visualization tools, such as Tableau, Power BI, or QlikView. * Strong communication and collaboration skills, with the ability to work with cross-functional teams. **Preferred Qualifications** * Master's degree in Computer Science, Engineering, or a related field. * Experience with big data technologies, such as Hadoop, Spark, or NoSQL databases. * Experience with data science tools, such as R, Python, or Julia. * Experience with cloud-based data platforms, such as Amazon Redshift, Google BigQuery, or Azure Synapse Analytics. * Experience with data governance and data quality tools, such as Informatica PowerCenter or Talend. * Experience with DevOps tools, such as Jenkins, Docker, or Kubernetes. **Skills and Competencies** * Strong understanding of data engineering principles and practices. * Experience with cloud-based technologies and data platforms. * Proficiency in programming languages and data integration technologies. * Strong communication and collaboration skills, with the ability to work with cross-functional teams. * Ability to work in a fast-paced, dynamic environment with multiple priorities and deadlines. * Strong problem-solving skills, with the ability to analyze complex data problems and develop effective solutions. **Career Growth Opportunities and Learning Benefits** * arenaflex offers a comprehensive training program to help you develop your skills and advance your career. * Opportunities for professional growth and development, including mentorship, coaching, and leadership development programs. * Collaborative and dynamic work environment, with a focus on innovation, creativity, and continuous learning. * Competitive salary and benefits package, including health insurance, retirement plan, and paid time off. **Work Environment and Company Culture** * arenaflex is committed to creating a diverse and inclusive work environment, where employees feel valued, respected, and empowered to succeed. * Our company culture is built on a foundation of innovation, creativity, and collaboration, with a focus on delivering exceptional customer experiences. * We offer a comprehensive benefits package, including health insurance, retirement plan, and paid time off, to support the well-being and success of our employees. **Compensation, Perks, and Benefits** * Competitive salary: $26/hour * Comprehensive benefits package, including health insurance, retirement plan, and paid time off. * Opportunities for professional growth and development, including mentorship, coaching, and leadership development programs. * Collaborative and dynamic work environment, with a focus on innovation, creativity, and continuous learning. * Flexible work arrangements, including remote work options and flexible hours. **How to Apply** If you are a motivated and experienced data engineer looking for a new challenge, please submit your application, including your resume and cover letter, to [insert contact information]. We look forward to hearing from you! Apply for this job