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].