Experienced Full Stack Data Entry Specialist – Cloud-Based Data Management and ETL Process Optimization

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 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 management, ETL process optimization, and cloud-based data storage, we want to hear from you!

About arenaflex

arenaflex is a global retail leader that's pushing the boundaries of innovation and technology. 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 committed 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 your career in tech, gaining new skills and experience, or scaling your expertise to make a lasting impact.

Key Responsibilities

As a Full Stack Data Entry Specialist, you'll be responsible for:

• Accurately inputting, updating, and maintaining data into our database systems
• 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
• Creating 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

* Demonstrated aptitude 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
• Solid skills working with social databases (e.g. Blue SQL) and NoSQL datasets (e.g. Cassandra)
• Experience with continuous 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 Versatile Pursuit

Essential Qualifications

* Bachelor's degree in Computer Science, Information Technology, or related field

• 2+ years of experience in data management, ETL process optimization, and cloud-based data storage
• Strong understanding of data design principles, data set planning, and ETL cycles
• 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 social databases (e.g. Blue SQL) and NoSQL datasets (e.g. Cassandra)

Preferred Qualifications

* Master's degree in Computer Science, Information Technology, or related field

• 5+ years of experience in data management, ETL process optimization, and cloud-based data storage
• Experience working with continuous message processing using Apache Kafka
• Experience in designing and implementing data models for effective 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 Versatile Pursuit

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 standards
• Ability to adapt to changing priorities and deadlines
• Strong understanding of data security and compliance regulations

Career Growth Opportunities and Learning Benefits

At arenaflex, we believe in investing in our team members and providing opportunities for growth and development. As a Full Stack Data Entry Specialist, you'll have access to:

• Ongoing training and professional development programs
• Opportunities for career advancement and promotion
• Collaborative and dynamic work environment
• Flexible work arrangements, including remote work options
• Comprehensive 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 values innovation, collaboration, and growth. Our team members are passionate about making a difference in the retail industry and are committed to delivering exceptional results. We offer a dynamic and supportive work environment that's perfect for launching your career in tech, gaining new skills and experience, or scaling your expertise to make a lasting impact.

Compensation, Perks, and Benefits

arenaflex offers a competitive compensation package, including:

• Salary range: $80,000 - $120,000 per year
• Comprehensive benefits package, including health insurance, retirement plan, and paid time off
• Flexible work arrangements, including remote work options
• Ongoing training and professional development programs
• Opportunities for career advancement and promotion

How to Apply

If you're passionate about data management, ETL process optimization, and cloud-based data storage, and are looking for a dynamic and supportive work environment, we want to hear from you! Apply now by submitting your resume and cover letter to [insert contact information]. Apply for this job