Experienced Full Stack Data Entry Specialist – Cloud-Based Data Pipelines and ETL Processes

At arenaflex, we're on a mission to revolutionize the retail industry through innovative technology and data-driven solutions. 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. This is a full-time position available for both night and day shifts, offering the flexibility to work remotely.

About arenaflex

arenaflex is a world-leading retailer that's at the forefront of the next retail revolution. We're a team of passionate individuals who share a common goal: to make life easier for millions of people around the world. Our Worldwide Tech division is a hub of innovation, where talented programmers, data scientists, network security experts, and operations specialists come together to develop cutting-edge solutions that transform the retail industry. We're human-driven and tech-engaged, and we're committed to empowering our team members to grow, learn, and succeed.

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, 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 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 Versatile Pursuit

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. Blue 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 working with 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, with the ability to present to both technical and non-technical audiences
• Strong attention to detail and ability to work in a fast-paced environment
• Ability to work independently and as part of a team
• Strong understanding of data security and compliance principles

Career Growth Opportunities and Learning Benefits

At arenaflex, we're committed to empowering our team members to grow, learn, and succeed. As a Full Stack Data Entry Specialist, you'll have access to:

• Ongoing training and development opportunities in data engineering, data science, and related fields
• Mentorship and guidance from experienced team members
• Opportunities to work on high-impact projects and contribute to the development of arenaflex's Supported Pursuit Publishing platform
• A dynamic and supportive work environment that values innovation, collaboration, and growth

Work Environment and Company Culture

arenaflex is a human-driven and tech-engaged organization that values innovation, collaboration, and growth. Our work environment is dynamic and supportive, with a focus on empowering our team members to succeed. As a Full Stack Data Entry Specialist, you'll have the opportunity to work with a talented team of professionals who share a common goal: to make life easier for millions of people around the world.

Compensation, Perks, and Benefits

arenaflex offers a competitive compensation package, including:

• A salary range of $80,000 - $120,000 per year, depending on experience
• Comprehensive health insurance, including medical, dental, and vision coverage
• 401(k) matching program and other retirement benefits
• Paid time off, including vacation, sick leave, and holidays
• Opportunities for professional development and growth

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 a cover letter outlining your experience, skills, and qualifications. We can't wait to hear from you! Apply Now Apply for this job