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, data sets, 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 leader in retail innovation, and our Worldwide Tech team is at the forefront of this movement. We're a diverse group of experts in programming, data science, network security, and more, working together to create a seamless shopping experience for millions of customers. Our team is driven by a passion for technology and a commitment to excellence, and we're always looking for talented individuals like you to join our ranks.

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 our data engineering team to design and implement data pipelines, data sets, and ETL processes that support our Supported Pursuit Publicizing stage. If you're a detail-oriented, tech-savvy individual with a passion for data engineering, we want to hear from you!

Key Responsibilities

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

• Collaborate with data engineering team to ensure data quality, accessibility, and reliability for analysis and reporting
• Work with cross-functional teams, including QA, Product, Program Management, and Partner Operations, to ensure seamless integration and communication
• Participate in day-to-day operations to investigate production issues and resolve them in a timely manner
• Develop and maintain hearty, adaptable data pipelines for ingesting, transforming, and storing large volumes of data to support marketing on arenaflex.com and its subsidiaries
• Work on cloud platforms like Azure and Google Cloud for data storage, processing, and analysis
• Design and deploy large-scale, containerized applications using Docker and Kubernetes on public clouds like Google GCP and Microsoft Azure

What You'll Bring

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

• Capability 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 relational databases (e.g., SQL Server) 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 retrieval
• 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 Conveyed Storage Frameworks like Hive and HBase
• Great oral and written communication skills, with the ability to present to both technical and non-technical audiences
• A strong sense of responsibility and ownership, self-discipline, and focus on high-quality expectations, and a team-oriented approach that values design thinking, efficiency, and innovation

What We Offer

* A dynamic and collaborative work environment that values innovation, creativity, and continuous learning

• Opportunities for career growth and professional development, including training and mentorship programs
• A comprehensive benefits package, including health insurance, retirement savings, 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
• A fun and inclusive company culture that values diversity, equity, and inclusion

How to Apply

If you're a motivated and detail-oriented individual with a passion for data engineering, we want to hear from you! Please submit your resume and a cover letter explaining why you're the perfect fit for this role. We can't wait to hear from you!

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