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**Experienced Full Stack Data Entry Specialist – Cloud-Based Data Pipeline Development and Maintenance**

Remote, USA Full-time Posted 2025-11-03
Are you a tech-savvy individual with a passion for data analysis and pipeline development? Do you thrive in a fast-paced environment where no two days are the same? If so, we invite you to join blithequark's dynamic team of data experts as a Full Stack Data Entry Specialist. In this role, you will play a critical part in designing, implementing, and maintaining robust data pipelines that drive business growth and innovation. **About blithequark** At blithequark, we're revolutionizing the retail industry with cutting-edge technology and innovative solutions. Our team of experts is dedicated to developing and implementing data-driven strategies that drive business success. As a Full Stack Data Entry Specialist, you'll be part of a collaborative and dynamic team that values creativity, innovation, and teamwork. **Key Responsibilities** As a Full Stack Data Entry Specialist, your primary responsibilities will include: * Designing, implementing, and maintaining robust data pipelines for ingesting, processing, and storing large volumes of data to support marketing efforts on Walmart.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 to ensure seamless integration and delivery of projects. * Participating in 24/7 on-call rotations to investigate production issues across cross-functional teams. * Staying up-to-date with industry trends and emerging technologies to identify opportunities for process improvements and innovation. **What You'll Bring** To succeed in this role, you'll need to bring the following skills and experience: * 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 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 opportunities for improving existing processes, tools, and frameworks to achieve high scalability 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. * Excellent oral and written communication skills, with the ability to present to both technical and non-technical audiences. * A strong sense of ownership and accountability, self-discipline, and focus on high-quality expectations, and a team-oriented approach that values design thinking, efficiency, and innovation. **What We Offer** As a Full Stack Data Entry Specialist at blithequark, you'll enjoy a range of benefits, including: * Competitive salary and benefits package. * Opportunities for career growth and professional development. * Collaborative and dynamic work environment. * Flexible remote work options. * Access to cutting-edge technology and tools. * Recognition and rewards for outstanding performance. * Opportunities to work on high-impact projects that drive business growth and innovation. **How to Apply** If you're a motivated and tech-savvy individual with a passion for data analysis and pipeline development, we invite you to apply for this exciting opportunity. Please submit your resume and a cover letter outlining your experience and qualifications for this role. We can't wait to hear from you! Apply Now! Apply for this job    

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