Experienced Full Stack Data Entry Specialist – Cloud Application Development

At arenaflex, we're on a mission to revolutionize the retail industry through innovative technology and data-driven solutions. As a key member of our team, you'll have the opportunity to work on high-impact projects that make a real difference in people's lives. We're seeking an experienced Full Stack Data Entry Specialist to join our team and contribute to the development of our cloud-based applications.

About arenaflex

arenaflex is a leading retailer that's pushing the boundaries of what's possible in the retail industry. We're a team of passionate individuals who are driven by a shared vision of making a positive impact on our customers and communities. Our technology team is at the forefront of this movement, developing cutting-edge solutions that are changing the face of retail.

Job Summary

As a Full Stack Data Entry Specialist, you'll be responsible for designing, developing, and maintaining data pipelines, data sets, and ETL processes for our cloud-based applications. You'll 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 develop data pipelines, data sets, and ETL processes for our cloud-based applications

• Work with cloud platforms such as 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 on-call rotations to investigate production issues across cross-functional teams
• Develop and maintain high-quality, scalable, and efficient data models for effective capacity and recovery
• Work with distributed computing services like Google GCP and Microsoft Azure, as well as distributed storage frameworks like Hive and Hadoop

Requirements

* Demonstrated expertise in 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
• Strong skills working with social databases (e.g. MySQL) and NoSQL databases (e.g. Cassandra)
• Experience with real-time message processing using Apache Kafka
• Experience in designing and implementing data models for effective capacity and recovery
• Development-oriented mindset and a willingness to raise the technical bar, as well as identify potential opportunities for improving existing cycles, 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

Nice to Have

* Experience with cloud-based data platforms like Azure and Google Cloud

• Experience with containerization and orchestration using Docker and Kubernetes
• Experience with distributed computing services like Google GCP and Microsoft Azure
• Experience with distributed storage frameworks like Hive and Hadoop
• Strong oral and written communication skills, with the ability to present to both technical and non-technical audiences

What We Offer

* Competitive salary and benefits package

• Opportunity to work on high-impact projects that make a real difference in people's lives
• Collaborative and dynamic work environment
• Professional development opportunities to help you grow and advance in your career
• Flexible work arrangements, including remote work options
• Recognition and rewards for outstanding performance and contributions

How to Apply

If you're a motivated individual with a passion for data-driven solutions and a desire to make a real impact, we encourage you to apply now! We're excited to review your application and learn more about your qualifications and experience. Apply To This Job Apply for this job