At arenaflex, we're on a mission to revolutionize the retail industry through cutting-edge technology and innovative 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. If you're passionate about data engineering, cloud computing, and collaboration, we want to hear from you!
**About arenaflex**
arenaflex is a world-leading retailer that's transforming the way people shop, work, and live. Our Worldwide Tech team is a dynamic group of 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 empowering our team members to grow, learn, and thrive. Whether you're just starting your career or looking to take your skills to the next level, we offer a supportive and inclusive environment that's perfect for innovators and problem-solvers.
**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 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:
* Demonstrated expertise in data engineering concepts, data set design, ETL cycles, and data mining
* Proficiency in working with data technologies like SQL, Python, Flash, Scala, Hadoop, and related tools and frameworks
* Experience with ETL tools like Apache NiFi
* Strong 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 Stored Data Frameworks like Hive and Versatile Search
* Excellent oral and written communication skills, with the ability to present to both technical and non-technical audiences
* A strong sense of ownership, self-discipline, and focus on high-quality expectations, as well as a team-oriented approach that values design thinking, efficiency, and growth
**How You'll Thrive**
As a Full Stack Data Entry Specialist at arenaflex, you'll enjoy:
* A dynamic and supportive work environment that encourages collaboration, innovation, and growth
* Opportunities to work on cutting-edge projects that drive business results and transform the retail industry
* A comprehensive benefits package, including medical, dental, and vision insurance, as well as 401(k) matching and paid time off
* Professional development opportunities, including training, mentorship, and career advancement
* A flexible work schedule that allows you to balance your work and personal life
* Access to the latest technologies and tools, including cloud platforms, data analytics software, and collaboration tools
**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! Apply now to join our team of innovators and problem-solvers at arenaflex.