Job Description
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 Now