**Experienced Full Stack Data Entry Specialist – Cloud-Based Data Pipelines and ETL Process Management**
About the Role
Are you a highly skilled and motivated individual with a passion for data management and analysis? Do you have a strong background in data entry, ETL processes, and cloud-based data pipelines? If so, we encourage you to apply for the Experienced Full Stack Data Entry Specialist position at Walmart Worldwide Tech. This is a unique opportunity to join a dynamic team of professionals who are shaping the future of retail and making a significant impact on the lives of millions of people.About Walmart Worldwide Tech
Walmart Worldwide Tech is a cutting-edge technology organization within the world's leading retailer. We are a team of programmers, data scientists, network security experts, and operations professionals who are driven by a passion for innovation and a commitment to excellence. Our mission is to harness the power of technology to make life easier for millions of people, and we are seeking talented individuals like you to join our team.Key Responsibilities
As an Experienced Full Stack Data Entry Specialist, you will be responsible for:- Accurately inputting, updating, and maintaining data into our database systems
- Building and maintaining robust, adaptable data pipelines for ingesting, transforming, and storing large volumes of data to support marketing on Walmart.com and its subsidiaries
- Working on cloud platforms like Azure and Google Cloud for data storage, processing, and analysis
- Designing and implementing 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, while working with cross-functional project development teams
- Participating in 24/7 on-call rotations to investigate production issues across cross-functional teams
What You'll Bring
To be successful in this role, you will need to demonstrate:- Demonstrated aptitude in data design principles, data set planning, 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 social databases (e.g. Sky blue SQL) and NoSQL data sets (e.g. Cassandra)
- Experience with continuous message processing using Apache Kafka
- Experience in designing and implementing data models for effective capacity and recovery
- A growth-oriented mindset and a willingness to raise the technical bar, as well as to 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 Versatile Pursuit
- 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 growth
What We Offer
As a member of our team, you can expect:- A dynamic and supportive work environment that values innovation, collaboration, and continuous learning
- A competitive salary and benefits package, including medical, dental, and vision insurance, 401(k) matching, and paid time off
- Opportunities for professional growth and development, including training, mentorship, and career advancement
- A comprehensive onboarding program to ensure a smooth transition into our team
- A flexible work schedule, including remote work options and flexible hours
- Access to cutting-edge technology and tools, including cloud-based platforms, data analytics software, and collaboration tools
- A commitment to diversity, equity, and inclusion, with a focus on creating a workplace that is welcoming and inclusive for all employees