**Experienced Full Stack Data Entry Specialist – Cloud Application Development 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, 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** 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, a global leader in retail innovation. Our team of data scientists, software engineers, network security experts, and operations professionals are shaping the future of retail through cutting-edge technology and data-driven insights. We're a human-driven organization that values collaboration, creativity, and continuous learning. Our goal is to empower individuals to grow, develop, and make a lasting impact in the tech industry. **Key Responsibilities** As a Full Stack Data Entry Specialist, you'll be responsible for: * Designing, implementing, and maintaining data pipelines, datasets, and ETL processes for our Supported Pursuit Publishing platform * Collaborating with cross-functional teams, including Scrum groups, QA, Product, Program Management, and Partner Operations * 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 * Participating in 24/7 on-call rotations to investigate production issues across cross-functional teams * Ensuring data quality, accessibility, and reliability for analysis and reporting for sponsors using our self-service platform **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 * 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 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, cloud computing, and ETL process management * Strong understanding of data engineering concepts, data set design, and ETL processes * 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) **Preferred Qualifications** * Master's degree in Computer Science, Information Technology, or related field * 5+ years of experience in data engineering, cloud computing, and ETL process management * Experience working with cloud 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 **Skills and Competencies** * Strong analytical and problem-solving skills * Excellent communication and collaboration skills * Ability to work in a fast-paced, dynamic environment * Strong attention to detail and quality assurance * Ability to adapt to changing priorities and deadlines * Strong understanding of data engineering concepts, data set design, and ETL processes * Proficiency in working with data technologies, including SQL, Python, Flash, Scala, Hadoop, and related tools and frameworks **Career Growth Opportunities and Learning Benefits** At blithequark, we believe in empowering our employees to grow, develop, and make a lasting impact in the tech industry. As a Full Stack Data Entry Specialist, you'll have opportunities to: * Develop your skills in data engineering, cloud computing, and ETL process management * Collaborate with cross-functional teams to drive innovation and growth * Participate in training and development programs to enhance your skills and knowledge * Work on high-impact projects that make a significant difference in the retail industry * Join a community of like-minded professionals who share your passion for technology and innovation **Work Environment and Company Culture** At blithequark, we value collaboration, creativity, and continuous learning. Our work environment is dynamic, fast-paced, and inclusive, with a focus on: * Empowering individuals to grow, develop, and make a lasting impact in the tech industry * Fostering a culture of innovation, experimentation, and learning * Encouraging open communication, collaboration, and feedback * Providing opportunities for professional growth and development * Celebrating diversity, equity, and inclusion **Compensation, Perks, and Benefits** As a Full Stack Data Entry Specialist at blithequark, you'll enjoy a competitive compensation package, including: * Salary: $120,000 - $150,000 per year * Benefits: Medical, dental, and vision insurance, 401(k) matching, and paid time off * Perks: Flexible work arrangements, professional development opportunities, and access to cutting-edge technology and tools * Bonus: Performance-based bonuses and stock options **How to Apply** If you're passionate about data engineering, cloud computing, and collaboration, we want to hear from you. Apply now to join our team of innovators and make a lasting impact in the retail industry. Apply Job! Apply for this job