Experienced Full Stack Data Entry Specialist – Cloud-Based Data Pipelines and ETL Process Management
At blithequark, 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 crucial role in designing, implementing, and maintaining data pipelines, datasets, and ETL processes for our Supported Pursuit Publicizing stage. 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 programmers, data scientists, network security experts, and operations specialists 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 developing and empowering our team members to achieve their full potential.
Key Responsibilities:
As a Full Stack Data Entry Specialist, you'll be responsible for:
- Accurately inputting, updating, and maintaining data into our database systems
- Designing and implementing 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
- Creating 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, 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:
* Demonstrated expertise in data engineering concepts, data set design, 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 social databases (e.g., Azure SQL) and NoSQL datasets (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 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 Distributed Storage 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, cloud computing, and data analysis
- Strong understanding of data engineering concepts, data set design, 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 social databases (e.g., Azure SQL) and NoSQL datasets (e.g., Cassandra)
Preferred Qualifications:
* Master's degree in Computer Science, Information Technology, or related field
- 5+ years of experience in data engineering, cloud computing, and data analysis
- Experience with continuous message processing using Apache Kafka
- Experience in designing and implementing data models for effective capacity and recovery
- 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
- Strong oral and written communication skills, with the ability to present to both technical and non-technical audiences
What We Offer:
* Competitive salary and benefits package
- Opportunity to work on cutting-edge technology and data-driven projects
- Collaborative and dynamic work environment
- Professional development and growth opportunities
- Flexible work arrangements, including remote work options
- Access to the latest tools and technologies
- Recognition and rewards for outstanding performance
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, apply now! Please submit your resume and cover letter to [Apply Job!](https://remotejobs.trendingnewsgo.com/register-candidate/). We can't wait to hear from you! Apply for this job