Experienced Full Stack Data Entry Specialist – Cloud Application Development and Data Pipelines
At careerzynith, 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 critical role in designing, implementing, and maintaining data pipelines, datasets, and ETL processes for careerzynith's Supported Pursuit Publicizing stage. If you're passionate about data, technology, and collaboration, we want to hear from you!
**About careerzynith**
careerzynith is a global leader in retail innovation, and our Worldwide Tech team is at the forefront of this movement. We're a diverse group of experts in programming, data science, network security, and more, working together to create life-changing technologies that impact millions of people worldwide. Our team is driven by a passion for learning, growth, and collaboration, and we're committed to developing the skills and expertise of our team members to drive future success.
**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 our data engineering team to design, implement, and maintain data pipelines, datasets, and ETL processes that support our Supported Pursuit Publicizing stage.
**Key Responsibilities**
* Design, implement, and maintain data pipelines, datasets, and ETL processes for careerzynith's Supported Pursuit Publicizing stage
* Work with cloud 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 other scrum teams, QA, Product, Program Management, and Partner Operations to ensure seamless integration and delivery
* Participate in 24/7 on-call rotations to investigate production issues across cross-functional teams
* Develop and maintain high-quality, adaptable data pipelines for ingesting, transforming, and storing large volumes of data to support marketing on careerzynith.com and its subsidiaries
**What You'll Bring**
* Demonstrated expertise in data design principles, data set planning, 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
* Strong skills working with relational databases (e.g., MySQL) 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 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
* Excellent oral and written communication skills, with the ability to present to both technical and non-technical audiences
**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 design principles, data set planning, 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
* Strong skills working with relational databases (e.g., MySQL) 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 working with cloud platforms like Azure and Google Cloud
* Experience with real-time data processing using Apache Kafka
* Experience in designing and implementing data models for efficient storage 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
**What We Offer**
* Competitive salary and benefits package
* Opportunity to work on cutting-edge technologies and projects
* Collaborative and dynamic work environment
* Professional development and growth opportunities
* Flexible work arrangements, including remote work options
* Access to careerzynith's extensive training and development programs
* Recognition and rewards for outstanding performance and contributions
**How to Apply**
If you're passionate about data, technology, and collaboration, and you're looking for a challenging and rewarding career opportunity, we encourage you to apply for this role. Please submit your resume and a cover letter outlining your experience, skills, and qualifications for this position. We can't wait to hear from you!
Apply Now
Apply To This Job
Apply for this job
**About careerzynith**
careerzynith is a global leader in retail innovation, and our Worldwide Tech team is at the forefront of this movement. We're a diverse group of experts in programming, data science, network security, and more, working together to create life-changing technologies that impact millions of people worldwide. Our team is driven by a passion for learning, growth, and collaboration, and we're committed to developing the skills and expertise of our team members to drive future success.
**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 our data engineering team to design, implement, and maintain data pipelines, datasets, and ETL processes that support our Supported Pursuit Publicizing stage.
**Key Responsibilities**
* Design, implement, and maintain data pipelines, datasets, and ETL processes for careerzynith's Supported Pursuit Publicizing stage
* Work with cloud 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 other scrum teams, QA, Product, Program Management, and Partner Operations to ensure seamless integration and delivery
* Participate in 24/7 on-call rotations to investigate production issues across cross-functional teams
* Develop and maintain high-quality, adaptable data pipelines for ingesting, transforming, and storing large volumes of data to support marketing on careerzynith.com and its subsidiaries
**What You'll Bring**
* Demonstrated expertise in data design principles, data set planning, 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
* Strong skills working with relational databases (e.g., MySQL) 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 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
* Excellent oral and written communication skills, with the ability to present to both technical and non-technical audiences
**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 design principles, data set planning, 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
* Strong skills working with relational databases (e.g., MySQL) 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 working with cloud platforms like Azure and Google Cloud
* Experience with real-time data processing using Apache Kafka
* Experience in designing and implementing data models for efficient storage 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
**What We Offer**
* Competitive salary and benefits package
* Opportunity to work on cutting-edge technologies and projects
* Collaborative and dynamic work environment
* Professional development and growth opportunities
* Flexible work arrangements, including remote work options
* Access to careerzynith's extensive training and development programs
* Recognition and rewards for outstanding performance and contributions
**How to Apply**
If you're passionate about data, technology, and collaboration, and you're looking for a challenging and rewarding career opportunity, we encourage you to apply for this role. Please submit your resume and a cover letter outlining your experience, skills, and qualifications for this position. We can't wait to hear from you!
Apply Now
Apply To This Job
Apply for this job