Experienced Full Stack Data Entry Specialist – Cloud-Based Data Pipeline Development and Maintenance

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 crucial role in designing, implementing, and maintaining data pipelines, datasets, and ETL processes for arenaflex's Supported Pursuit Publishing platform. This is a full-time position available for both night and day shifts, offering the flexibility to work remotely and collaborate with cross-functional teams to ensure data quality, accessibility, and reliability for analysis and reporting purposes.

About arenaflex

arenaflex is a leading retailer that's transforming the way people shop and interact with our brand. Our Worldwide Tech team is a group of talented individuals who are passionate about using technology to make a difference in people's lives. We're a human-driven and tech-engaged organization that's committed to developing our team members and acquiring experts like you to help us grow and innovate. 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, gaining new skills and experience, or scaling your expertise to make a significant 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
• 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 to ensure seamless data integration and analysis
• 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 demonstrate:

• A strong 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., Azure SQL) and NoSQL datasets (e.g., Cassandra)
• Experience with real-time message processing using Apache Kafka
• 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 a related field

• 2+ years of experience in data engineering, data science, or a related field
• Strong understanding of 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., Azure SQL) and NoSQL datasets (e.g., Cassandra)

Preferred Qualifications

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

• 5+ years of experience in data engineering, data science, or a related field
• Experience with real-time message processing using Apache Kafka
• 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

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 technical skills, including proficiency in data technologies and tools

Career Growth Opportunities and Learning Benefits

At arenaflex, we're committed to developing our team members and providing opportunities for growth and learning. As a Full Stack Data Entry Specialist, you'll have access to:

• Ongoing training and development programs to enhance your technical skills and knowledge
• Opportunities to work on high-impact projects and contribute to the development of new technologies and processes
• Collaborative and dynamic work environment that encourages innovation and creativity
• Recognition and rewards for outstanding performance and contributions
• Opportunities to take on leadership roles and mentor junior team members

Work Environment and Company Culture

arenaflex is a human-driven and tech-engaged organization that values collaboration, innovation, and growth. Our work environment is dynamic and fast-paced, with a focus on delivering high-quality results and making a meaningful impact. We offer a range of benefits and perks, including:

• Flexible work arrangements, including remote work options
• Comprehensive health and wellness programs
• Competitive salary and benefits package
• Opportunities for professional growth and development
• Recognition and rewards for outstanding performance and contributions

Compensation, Perks, and Benefits

arenaflex offers a competitive salary and benefits package, including:

• Base salary: $80,000 - $110,000 per year
• Bonus structure: up to 20% of base salary
• Comprehensive health and wellness programs, including medical, dental, and vision insurance
• 401(k) retirement plan with company match
• Flexible work arrangements, including remote work options
• Opportunities for professional growth and development
• Recognition and rewards for outstanding performance and contributions

How to Apply

If you're a motivated and talented individual who is passionate about data engineering and data science, we encourage you to apply for this exciting opportunity. Please submit your resume and cover letter to [insert contact information]. We can't wait to hear from you! Apply for this job