Experienced Full Stack Data Entry Specialist – Cloud Application Development and Data Pipeline Management

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 engineering, cloud computing, and collaboration, we want to hear from you.

About arenaflex

arenaflex is a global retail leader that's transforming the way people shop and interact with our brand. Our Worldwide Tech team is a dynamic group of technologists, data scientists, and operations experts who are shaping the future of retail through cutting-edge innovations. We're a human-driven organization that values creativity, collaboration, and continuous learning. Our team members are the driving force behind our success, and we're committed to providing opportunities for growth, development, and career advancement.

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 data pipelines, datasets, and ETL processes for arenaflex's Supported Pursuit Publishing platform
• Collaborating with cross-functional teams, including Scrum groups, QA, Product, Program Management, and Partner Operations
• Working with 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
• Participating in 24/7 on-call rotations to investigate production issues across cross-functional groups
• Staying up-to-date with industry trends and emerging technologies to identify opportunities for process improvements and innovation

What You'll Bring

* Demonstrated expertise in data engineering concepts, data set design, 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
• Strong skills working with relational databases (e.g., Azure SQL) and NoSQL databases (e.g., Cassandra)
• Experience with real-time data processing using Apache Kafka
• Experience in designing and implementing data models for efficient storage and recovery
• A growth-oriented mindset and a willingness to raise the technical bar, as well as identify 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

• 3+ years of experience in data engineering, cloud computing, and data pipeline management
• Strong understanding of data engineering concepts, data set design, 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
• Strong skills working with relational databases (e.g., Azure SQL) and NoSQL databases (e.g., Cassandra)

Preferred Qualifications

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

• 5+ years of experience in data engineering, cloud computing, and data pipeline management
• Experience with real-time data processing using Apache Kafka
• Experience in designing and implementing data models for efficient storage 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 Hadoop

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 adapt to changing priorities and deadlines
• Strong understanding of data engineering concepts, data set design, 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
• Strong skills working with relational databases (e.g., Azure SQL) and NoSQL databases (e.g., Cassandra)

Career Growth Opportunities and Learning Benefits

* Opportunities for career advancement and professional growth within arenaflex

• Access to training and development programs to enhance your skills and knowledge
• Collaborative and dynamic work environment that encourages innovation and creativity
• Opportunities to work on high-impact projects that drive business growth and innovation
• Recognition and rewards for outstanding performance and contributions

Work Environment and Company Culture

* arenaflex is a remote-friendly organization that offers flexible work arrangements

• Collaborative and dynamic work environment that encourages innovation and creativity
• Opportunities to work with a diverse and talented team of technologists, data scientists, and operations experts
• Recognition and rewards for outstanding performance and contributions
• Access to training and development programs to enhance your skills and knowledge

Compensation, Perks, and Benefits

* Competitive salary and benefits package

• Opportunities for career advancement and professional growth within arenaflex
• Access to training and development programs to enhance your skills and knowledge
• Collaborative and dynamic work environment that encourages innovation and creativity
• Recognition and rewards for outstanding performance and contributions
• Flexible work arrangements, including remote work options

How to Apply

If you're passionate about data engineering, cloud computing, and collaboration, and you're looking for a challenging and rewarding career opportunity, we want to hear from you. Please submit your resume and cover letter to [insert contact information]. We can't wait to hear from you! Apply for this job