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 vital role in designing, implementing, and maintaining data pipelines, data sets, 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 talented programmers, data scientists, network security experts, and operations professionals who are shaping the future of retail. Our team is human-driven and tech-engaged, and we're committed to developing our people and acquiring top talent to help us grow. Whether you're just starting your career or looking for a new challenge, we offer opportunities for growth, learning, and innovation.
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 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 to ensure data quality, accessibility, and reliability
- 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 processes, 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
- Strong skills working with relational databases (e.g., Azure SQL) 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 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 understanding of data engineering concepts, data set design, ETL processes, 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
- Strong skills working with relational databases (e.g., Azure SQL) and NoSQL databases (e.g., Cassandra)
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 real-time data processing using Apache Kafka
- Experience in designing and implementing data models for efficient storage and retrieval
- Strong understanding of cloud computing platforms like Azure and Google Cloud
- Experience with containerization using Docker and Kubernetes
- Experience with distributed computing services like Google GCP and Microsoft Azure
What We Offer:
* Competitive salary and benefits package
- Opportunities for growth and professional development
- Collaborative and dynamic work environment
- Flexible work arrangements, including remote work options
- Access to cutting-edge technologies and tools
- Recognition and rewards for outstanding performance
- Comprehensive training and onboarding program
- Opportunities for career advancement and leadership development
How to Apply:
If you're passionate about data engineering, cloud computing, and collaboration, we want to hear from you! Please submit your application, including your resume and a cover letter, through our website. We can't wait to hear from you and explore how you can contribute to our mission to revolutionize the retail industry through innovative technology and data-driven insights. Apply Now! Apply for this job