**Experienced Full Stack Data Entry Specialist – Cloud and Big Data Application Development for arenaflex**

At arenaflex, we're on a mission to revolutionize the retail industry through cutting-edge technology and innovative solutions. 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 big data analytics, we want to hear from you.

• *About arenaflex**

arenaflex is a global retail leader that's transforming the way people shop and interact with our brand. Our Worldwide Tech team is a hub of innovation, where talented individuals come together to develop game-changing solutions that make a real difference in people's lives. We're a human-driven organization that's passionate about technology and committed to empowering our team members to grow and thrive.

• *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 available for both night and day shifts, offering the flexibility to work remotely. 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 robust, scalable data pipelines for ingesting, transforming, and storing large volumes of data to support marketing on arenaflex.com and its subsidiaries
• Work on cloud platforms like Azure and Google Cloud for 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 other scrum teams, QA, Product, Program Management, and Partner Operations to ensure seamless integration and delivery
• Participate in 24/7 on-call rotations to investigate production issues across cross-functional teams
• Develop and maintain high-quality documentation to ensure knowledge sharing and transfer

• *What You'll Bring**

• Demonstrated expertise in data engineering concepts, data set design, ETL processes, and data mining
• Proficiency in working with data technologies including SQL, Python, Flash, Scala, Hadoop, and related tools and frameworks
• Experience with ETL tools like Apache NiFi
• Strong skills working with relational databases (e.g., Azure SQL) and NoSQL databases (e.g., Cassandra)
• Experience with real-time data processing using Apache Kafka
• Experience in designing and implementing data models for efficient capacity 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 Hadoop

• *Essential Qualifications**

• Bachelor's degree in Computer Science, Information Technology, or related field
• 3+ years of experience in data engineering, cloud computing, and big data analytics
• Strong understanding of data engineering concepts, data set design, ETL processes, and data mining
• Proficiency in working with data technologies including SQL, Python, Flash, Scala, Hadoop, and related tools and frameworks
• Experience with ETL tools like Apache NiFi
• Strong skills working with relational databases (e.g., Azure SQL) and NoSQL databases (e.g., Cassandra)

• *Preferred Qualifications**

• Master's degree in Computer Science, Information Technology, or related field
• 5+ years of experience in data engineering, cloud computing, and big data analytics
• Experience with real-time data processing using Apache Kafka
• Experience in designing and implementing data models for efficient capacity 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 Hadoop

• *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 quality assurance
• Ability to adapt to changing priorities and deadlines
• Strong understanding of cloud computing and big data analytics concepts
• Experience with Agile development methodologies and version control systems like Git

• *Career Growth Opportunities and Learning Benefits**

• Opportunities for professional growth and development in a dynamic and innovative organization
• Access to cutting-edge technologies and tools
• Collaborative and supportive work environment
• Opportunities for mentorship and knowledge sharing
• Professional development programs and training opportunities
• Flexible work arrangements and remote work options

• *Work Environment and Company Culture**

• arenaflex is a human-driven organization that values diversity, equity, and inclusion
• We're committed to creating a workplace that's inclusive, respectful, and supportive of all employees
• We offer a collaborative and dynamic work environment that encourages innovation and creativity
• We're passionate about technology and committed to empowering our team members to grow and thrive

• *Compensation, Perks, and Benefits**

• Competitive salary and benefits package
• Flexible work arrangements and remote work options
• Professional development programs and training opportunities
• Access to cutting-edge technologies and tools
• Collaborative and supportive work environment
• Opportunities for mentorship and knowledge sharing
• Flexible work hours and compressed workweeks
• Comprehensive health insurance and wellness programs
• 401(k) matching program and retirement savings plan
• Paid time off and vacation days
• Employee recognition and reward programs

• *How to Apply**

If you're passionate about data engineering, cloud computing, and big data analytics, and you're looking for a challenging and rewarding career opportunity, we want to hear from you. Please submit your resume and cover letter to [insert contact information]. We can't wait to hear from you!