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

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 Publicizing stage. If you're passionate about data engineering, cloud application development, and collaboration, we want to hear from you!

• *About arenaflex**

arenaflex is a global leader in retail innovation, and our Worldwide Tech team is at the forefront of this movement. We're a diverse group of programmers, data scientists, network security experts, and operations specialists who share a common goal: to make life easier for millions of people through technology. Our team is human-driven and tech-engaged, and we're committed to training and developing our team members in the skills of the future.

• *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 on our self-service platform.

• *Key Responsibilities**

• Design, implement, and maintain data pipelines, datasets, and ETL processes for arenaflex's Supported Pursuit Publicizing stage
• Work with 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 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 hearty, 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 aptitude in data engineering concepts, data set design, 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., 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 storage and retrieval
• 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 engineering, cloud application development, or related field
• Strong oral and written communication skills, with the ability to present to both technical and non-technical audiences
• A solid sense of responsibility and ownership, self-discipline, and focus on high-quality expectations, and a team-oriented approach that values design thinking, efficiency, and growth

• *Preferred Qualifications**

• Master's degree in Computer Science, Information Technology, or related field
• 5+ years of experience in data engineering, cloud application development, or related field
• Experience with 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
• Experience with distributed storage frameworks like Hive and Hadoop

• *What We Offer**

• Competitive salary and benefits package
• Opportunity to work on cutting-edge projects and technologies
• Collaborative and dynamic work environment
• Professional development and growth opportunities
• Flexible work arrangements, including remote work options
• Access to the latest tools and technologies
• Recognition and rewards for outstanding performance

• *How to Apply**

If you're passionate about data engineering, cloud application development, and collaboration, 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!