Experienced Full Stack Data Entry Specialist – Cloud-Based Data Pipelines and ETL Processes

At blithequark, 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 our Supported Pursuit Publishing platform. If you're passionate about data engineering, cloud computing, and collaboration, we want to hear from you!

About blithequark Worldwide Tech

Imagine working in a dynamic environment where one line of code can make a significant impact on millions of people. That's what we do at blithequark Worldwide Tech. We're a team of talented programmers, data scientists, network security experts, and operations professionals within the world's leading retailer, driving innovation and disruption in the retail industry. Our people are the driving force behind our technology, and we're committed to empowering them with the skills and expertise needed to succeed in the future.

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 our Supported Pursuit Publishing platform

• Work with cloud-based platforms like Azure and Google Cloud for data storage, processing, and analysis
• Develop and deploy large-scale, containerized applications using Docker and Kubernetes on public clouds like Google GCP and Microsoft Azure
• Collaborate with scrum teams, QA, Product, Program Management, and Partner Operations to ensure seamless data integration and analysis
• Participate in 24/7 on-call rotations to investigate production issues across cross-functional teams
• Develop and maintain robust, adaptable data pipelines for ingesting, transforming, and storing large volumes of data to support marketing on Walmart.com and its subsidiaries

What You'll Bring

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

• Proficiency in working with data technologies such as 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 recovery
• 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 scalability 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 Hadoop

Essential Qualifications

* Bachelor's degree in Computer Science, Information Technology, or related field

• 2+ years of experience in data engineering, data science, or related field
• Strong oral and written communication skills, with the ability to present to both technical and non-technical audiences
• A solid sense of responsibility and ownership, self-discipline, and focus on high-quality expectations, with a team-oriented approach that values design thinking, efficiency, and innovation

Preferred Qualifications

* Master's degree in Computer Science, Information Technology, or related field

• 5+ years of experience in data engineering, data science, or related field
• Experience with cloud-based platforms like Azure and Google Cloud
• Experience with containerization using Docker and Kubernetes
• Experience with distributed computing services like Google GCP and Microsoft Azure
• Experience with stored data frameworks like Hive and Hadoop

What We Offer

* 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 and contribute to the future of retail

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 talented professionals at blithequark Worldwide Tech. Apply Job! Apply for this job