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

Remote Full-time
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 critical role in designing, implementing, and maintaining data pipelines, datasets, and ETL processes for arenaflex's Supported Pursuit Publicizing stage. If you're passionate about working with data, collaborating with cross-functional teams, and driving business growth, we want to hear from you.

**About arenaflex**

arenaflex is a global retail leader that's committed to using technology to make life easier for millions of people. Our Worldwide Tech team is a group of talented programmers, data scientists, network security experts, and operations specialists who are shaping the future of retail. We're a human-driven, tech-engaged organization that's dedicated to developing our team members and acquiring top talent to help us grow. Whether you're just starting your career or looking for a new challenge, we offer a dynamic and supportive environment that's perfect for launching an exciting career in tech.

**Key Responsibilities**

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. Your key responsibilities will include:

* Designing and implementing robust, adaptable data pipelines for ingesting, transforming, and storing large volumes of data to support marketing on arenaflex.com and its subsidiaries
* Working on cloud platforms like Azure and Google Cloud for data storage, processing, and analysis
* Developing and deploying large-scale, containerized applications using Docker and Kubernetes on public clouds like Google GCP and Microsoft Azure
* Collaborating with other scrum teams, QA, Product, Program Management, and Partner Operations, while working with cross-functional project development teams
* Participating in 24/7 on-call rotations to investigate production issues across cross-functional teams

**What You'll Bring**

To succeed in this role, you'll need to bring the following skills and qualifications:

* 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 social databases (e.g. Blue SQL) and NoSQL datasets (e.g. Cassandra)
* Experience with real-time message processing using Apache Kafka
* Experience in designing and implementing data models for effective 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 engineering, data science, or related field
* Strong oral and written communication skills, with the ability to present to both technical and non-technical audiences
* A strong 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, data science, or related field
* Experience with big data technologies like Hadoop, Spark, and NoSQL databases
* Experience with cloud platforms like Azure and Google Cloud
* Experience with containerization and orchestration using Docker and Kubernetes

**Career Growth Opportunities and Learning Benefits**

At arenaflex, we're committed to developing our team members and acquiring top talent to help us grow. We offer a range of career growth opportunities and learning benefits, including:

* Opportunities to work on high-impact projects that drive business growth and innovation
* Access to cutting-edge technologies and tools, including big data, cloud, and machine learning
* Collaborative and dynamic work environment that encourages design thinking, efficiency, and growth
* Opportunities for professional development and growth, including training, mentorship, and career advancement
* Competitive compensation and benefits package, including health insurance, retirement plan, and paid time off

**Work Environment and Company Culture**

arenaflex is a human-driven, tech-engaged organization that's committed to creating a dynamic and supportive work environment. We value design thinking, efficiency, and growth, and we're dedicated to developing our team members and acquiring top talent to help us grow. Our company culture is built on the following values:

* Collaboration and teamwork
* Innovation and creativity
* Customer focus and satisfaction
* Quality and excellence
* Diversity and inclusion
* Continuous learning and growth

**Compensation, Perks, and Benefits**

arenaflex offers a competitive compensation and benefits package, including:

* Competitive salary and bonus structure
* Comprehensive health insurance package
* Retirement plan with company match
* Paid time off and holidays
* Flexible work arrangements, including remote work options
* Access to cutting-edge technologies and tools
* Opportunities for professional development and growth

**How to Apply**

If you're passionate about working with data, collaborating with cross-functional teams, and driving business growth, we want to hear from you. Please submit your application, including your resume and cover letter, to [insert contact information]. We can't wait to hear from you and explore how you can contribute to our team's success.





Apply Now →

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