**Experienced Full Stack Data Entry Specialist – Cloud-Based Data Pipelines and ETL Process Management**

At arenaflex, we're on a mission to revolutionize the retail industry through innovative technology and data-driven insights. As a key member of our Supported Hunt Information group, you'll play a vital role in designing, implementing, and maintaining data pipelines, datasets, and ETL processes for arenaflex's Supported Pursuit Publishing platform. If you're passionate about data engineering, cloud computing, and collaboration, we want to hear from you! **About arenaflex** arenaflex is a global retail leader that's pushing the boundaries of what's possible in the world of e-commerce. Our Worldwide Tech team is a community of talented programmers, data scientists, network security experts, and operations professionals who are dedicated to using technology to make a meaningful impact on people's lives. We're a human-driven organization that's passionate about innovation, collaboration, and continuous learning. Our team members are the driving force behind our success, and we're committed to providing them with the skills, training, and opportunities they need to thrive in their careers. **Job Summary** As a Full Stack Data Entry Specialist, you'll be responsible for accurately inputting, updating, and maintaining data into our database systems. This is a full-time position that offers the flexibility to work remotely, with both night and day shifts available. You'll work closely with our cross-functional teams to ensure data quality, accessibility, and reliability for analysis and reporting purposes. **Key Responsibilities** * Design, implement, and maintain data pipelines, datasets, and ETL processes for arenaflex's Supported Pursuit Publishing platform * Work with cloud-based platforms like Azure and Google Cloud to manage data storage, processing, and analysis * Develop and deploy large-scale, containerized applications using Docker and Kubernetes on public clouds like Google GCP and Microsoft Azure * Collaborate with scrum teams, QA, Product, Program Management, and Partner Operations to ensure seamless data integration and analysis * Participate in 24/7 on-call rotations to investigate production issues across cross-functional teams * Develop and maintain robust, adaptable data pipelines for ingesting, transforming, and storing large volumes of data to support marketing on arenaflex.com and its subsidiaries **What You'll Bring** * Demonstrated expertise in data engineering concepts, data set design, ETL cycles, and data mining * Proficiency in working with data technologies like SQL, Python, Flash, Scala, Hadoop, and related tools and frameworks * Experience with ETL tools like Apache NiFi * Strong skills working with social databases (e.g., Blue SQL) and NoSQL datasets (e.g., Cassandra) * Experience with real-time data processing using Apache Kafka * Experience in designing and implementing data models for efficient storage and recovery * A growth-oriented mindset and a willingness to raise the technical bar, as well as identify potential opportunities for improving existing processes, tools, and frameworks to achieve high scale and efficiency * Experience working with Docker and Kubernetes, as well as Distributed Computing Services like Google GCP and Microsoft Azure, and Distributed Storage Frameworks like Hive and Versatile Search **Essential Qualifications** * Bachelor's degree in Computer Science, Information Technology, or related field * 2+ years of experience in data engineering, data science, or related field * Strong understanding of data engineering concepts, data set design, ETL cycles, and data mining * Proficiency in working with data technologies like SQL, Python, Flash, Scala, Hadoop, and related tools and frameworks * Experience with ETL tools like Apache NiFi * Strong skills working with social databases (e.g., Blue SQL) and NoSQL datasets (e.g., Cassandra) **Preferred Qualifications** * Master's degree in Computer Science, Information Technology, or related field * 5+ years of experience in data engineering, data science, or related field * Experience with real-time data processing using Apache Kafka * Experience in designing and implementing data models for efficient storage and recovery * Strong understanding of cloud-based platforms like Azure and Google Cloud * Experience with containerization using Docker and Kubernetes * Experience with Distributed Computing Services like Google GCP and Microsoft Azure, and Distributed Storage Frameworks like Hive and Versatile Search **Skills and Competencies** * Strong analytical and problem-solving skills * Excellent communication and collaboration skills * Ability to work in a fast-paced, dynamic environment * Strong attention to detail and commitment to quality * Willingness to learn and adapt to new technologies and processes * Strong understanding of data engineering concepts, data set design, ETL cycles, and data mining * Proficiency in working with data technologies like SQL, Python, Flash, Scala, Hadoop, and related tools and frameworks * Experience with ETL tools like Apache NiFi * Strong skills working with social databases (e.g., Blue SQL) and NoSQL datasets (e.g., Cassandra) **Career Growth Opportunities and Learning Benefits** * Opportunities for professional growth and development in a dynamic and innovative organization * Access to training and development programs to enhance your skills and knowledge * Collaborative and supportive work environment that encourages learning and innovation * Opportunities to work on high-impact projects that drive business results * Recognition and rewards for outstanding performance and contributions **Work Environment and Company Culture** * arenaflex is a remote-friendly organization that offers flexible work arrangements to support work-life balance * Collaborative and supportive work environment that encourages learning and innovation * Opportunities to work with a diverse and talented team of professionals from around the world * Recognition and rewards for outstanding performance and contributions * Access to state-of-the-art technology and tools to support your work **Compensation, Perks, and Benefits** * Competitive salary and benefits package * Opportunities for professional growth and development in a dynamic and innovative organization * Access to training and development programs to enhance your skills and knowledge * Collaborative and supportive work environment that encourages learning and innovation * Recognition and rewards for outstanding performance and contributions * Flexible work arrangements to support work-life balance **How to Apply** If you're passionate about data engineering, cloud computing, and collaboration, 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 and explore how you can contribute to our mission to revolutionize the retail industry through innovative technology and data-driven insights. Apply for this job