**Experienced Full Stack Data Entry Specialist – Cloud Application Development and Data Management**

Are you a highly skilled and motivated individual looking to kick-start your career in data management and cloud application development? Do you have a passion for working with large datasets, designing and implementing efficient data pipelines, and collaborating with cross-functional teams to drive business growth? If so, we invite you to join arenaflex, a leading retail company, as a Full Stack Data Entry Specialist.

• *About arenaflex**

arenaflex is a global retail leader that is revolutionizing the way people shop and interact with our brand. As a company, we are committed to innovation, customer satisfaction, and employee growth. Our technology team, Walmart Worldwide Tech, is at the forefront of this revolution, developing cutting-edge solutions that make life easier for millions of people around the world. We are a human-driven and tech-engaged organization that values diversity, inclusion, and collaboration.

• *Job Summary**

As a Full Stack Data Entry Specialist, you will play a critical role in designing, implementing, and maintaining data pipelines, data sets, and ETL processes for arenaflex's Supported Pursuit Publicizing stage. You will work closely with cross-functional teams to ensure data quality, accessibility, and reliability for analysis and reporting purposes. This is a full-time position available for both night and day shifts, offering the flexibility to work remotely.

• *Key Responsibilities**

• Design and implement efficient data pipelines for ingesting, transforming, and storing large volumes of data to support marketing on Walmart.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 of data-driven solutions
• Participate in on-call rotations to investigate production issues across cross-functional teams
• Develop and maintain strong relationships with stakeholders to ensure data quality, accessibility, and reliability

• *What You'll Bring**

• Demonstrated aptitude in data design principles, data set planning, ETL cycles, and data mining
• Capability in working with data technologies including SQL, Python, Flash, Scala, Hadoop, and related tools and frameworks
• Experience with ETL tools like Apache NiFi
• Solid skills working with relational databases (e.g., SQL Server) 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
• 2+ years of experience in data management, cloud application development, and data engineering
• Strong understanding of data design principles, data set planning, ETL cycles, 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
• Solid skills working with relational databases (e.g., SQL Server) 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 management, cloud application development, and data engineering
• Experience with real-time data processing using Apache Kafka
• Experience in designing and implementing data models for efficient capacity and recovery
• Strong understanding of cloud 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 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 data security and compliance

• *Career Growth Opportunities and Learning Benefits**

• Opportunities for career growth and professional development
• Access to cutting-edge technologies and tools
• Collaborative and dynamic work environment
• Opportunities for mentorship and knowledge sharing
• Recognition and rewards for outstanding performance

• *Work Environment and Company Culture**

• Remote work option available
• Flexible work hours and schedule
• Collaborative and dynamic work environment
• Opportunities for socialization and team-building
• Recognition and rewards for outstanding performance

• *Compensation, Perks, and Benefits**

• Competitive salary and benefits package
• Opportunities for bonuses and stock options
• Comprehensive health insurance and wellness programs
• Paid time off and vacation days
• Access to cutting-edge technologies and tools

• *How to Apply**

If you are a motivated and skilled individual looking to join a dynamic and innovative team, we invite you to apply for this exciting opportunity. Click the link below to submit your application, and we will be in touch soon.