Experienced Full Stack Data Entry Specialist – Cloud-Based Data Pipelines and ETL Process 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 Publicizing stage. 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 hub of innovation, where talented individuals like you come together to develop cutting-edge solutions that make a real impact. We're not just a company – we're a community of passionate professionals who share a common goal: to revolutionize retail through technology.

Job Summary

As a Full Stack Data Entry Specialist, you'll be responsible for accurately inputting, updating, and maintaining data into our database systems. This is a full-time position available for both night and day shifts, offering the flexibility to work remotely. You'll work closely with cross-functional teams to ensure data quality, accessibility, and reliability for analysis and reporting purposes.

Key Responsibilities

* Design, implement, and maintain data pipelines, datasets, and ETL processes for arenaflex's Supported Pursuit Publicizing stage

• Collaborate with data engineers, data scientists, and other stakeholders to ensure data quality, accessibility, and reliability
• Develop and maintain cloud-based data pipelines using technologies like Apache Beam, Apache Spark, and AWS Glue
• Work with big data technologies like Hadoop, Hive, and Cassandra to process and store large datasets
• Develop and maintain containerized applications using Docker and Kubernetes
• Participate in day-to-day operations to investigate production issues across cross-functional teams
• Collaborate with scrum teams, QA, Product, Program Management, and Partner Operations to ensure seamless integration and delivery

What You'll Bring

* Demonstrated expertise in data engineering concepts, data set design, ETL cycles, and data mining

• Proficiency in working with data technologies like SQL, Python, Scala, Hadoop, and related tools and frameworks
• Experience with ETL tools like Apache NiFi and Apache Beam
• Solid skills working with relational databases (e.g., MySQL) and NoSQL databases (e.g., Cassandra)
• Experience with message queuing using Apache Kafka
• Experience in designing and implementing data models for efficient storage and retrieval
• A growth-oriented mindset and a willingness to identify opportunities for improving existing processes, tools, and frameworks
• Experience working with Docker and Kubernetes, as well as distributed computing services like Google GCP and Microsoft Azure
• Excellent oral and written communication skills, with the ability to present to both technical and non-technical audiences

What We Offer

* A dynamic and collaborative work environment that values design thinking, efficiency, and growth

• Opportunities for professional growth and development, including training and mentorship programs
• A comprehensive benefits package, including health insurance, retirement plans, and paid time off
• A competitive salary and bonus structure, with opportunities for performance-based raises
• A flexible work schedule, including remote work options and flexible hours
• Access to cutting-edge technologies and tools, including cloud-based platforms and big data technologies
• A chance to work on high-impact projects that make a real difference in the retail industry

How to Apply

If you're passionate about data engineering, cloud computing, and collaboration, we want to hear from you! Please submit your application, including your resume and a cover letter, through our website. We can't wait to hear from you and explore how you can contribute to our mission to revolutionize retail through technology. Apply Now! Apply for this job