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

At arenaflex, 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 arenaflex's Supported Pursuit Publicizing stage. If you're passionate about data engineering, cloud computing, and collaboration, we want to hear from you!

About arenaflex

arenaflex is a global retail leader that's pushing the boundaries of what's possible in the industry. Our Worldwide Tech team is a hub of innovation, where talented individuals come together to develop cutting-edge solutions that make a real impact on people's lives. We're a human-driven, tech-engaged organization that's committed to training and developing our team members in the skills they need to succeed in the future. Whether you're just starting your career or looking to take your skills to the next level, we offer a dynamic and supportive environment that's perfect for growth and development.

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. If you have a passion for data engineering, cloud computing, and collaboration, we want to hear from you!

Key Responsibilities

* Design, implement, and maintain data pipelines, datasets, and ETL processes for arenaflex's Supported Pursuit Publicizing stage

• Work with our data engineering team to develop and maintain cloud-based data pipelines and ETL processes
• Collaborate with cross-functional teams, including QA, Product, Program Management, and Partner Operations, to ensure data quality, accessibility, and reliability
• Participate in day-to-day operations to investigate production issues across cross-functional teams
• Develop and maintain expertise in data engineering tools and technologies, including SQL, Python, Flash, Scala, Hadoop, and related tools and technologies
• Experience with ETL tools like Apache Wind current and data storage solutions like Hive and Versatile Pursuit
• Experience with distributed computing services like Google GCP and Microsoft Azure, as well as containerization tools like Docker and Kubernetes
• Develop and maintain expertise in data visualization and reporting tools, including Tableau and Power BI
• Collaborate with our data science team to develop and maintain data models and algorithms that support our business objectives

Essential Qualifications

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

• 2+ years of experience in data engineering, cloud computing, and collaboration
• Demonstrated expertise in data engineering tools and technologies, including SQL, Python, Flash, Scala, Hadoop, and related tools and technologies
• Experience with ETL tools like Apache Wind current and data storage solutions like Hive and Versatile Pursuit
• Experience with distributed computing services like Google GCP and Microsoft Azure, as well as containerization tools like Docker and Kubernetes
• Strong oral and written communication skills, with the ability to present to both technical and non-technical audiences
• A strong sense of responsibility and ownership, with a focus on delivering high-quality results and a team-oriented approach

Preferred Qualifications

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

• 5+ years of experience in data engineering, cloud computing, and collaboration
• Experience with data visualization and reporting tools, including Tableau and Power BI
• Experience with machine learning and artificial intelligence tools and technologies
• Experience with cloud-based data platforms, including Amazon Web Services (AWS) and Google Cloud Platform (GCP)
• Experience with DevOps tools and technologies, including Jenkins and GitLab

Skills and Competencies

* Strong understanding of data engineering principles and practices

• Experience with cloud-based data platforms, including Google Cloud Platform (GCP) and Microsoft Azure
• Experience with data visualization and reporting tools, including Tableau and Power BI
• Strong oral and written communication skills, with the ability to present to both technical and non-technical audiences
• A strong sense of responsibility and ownership, with a focus on delivering high-quality results and a team-oriented approach
• Experience with collaboration and teamwork, with the ability to work effectively with cross-functional teams
• Strong problem-solving and analytical skills, with the ability to troubleshoot and resolve complex technical issues

Career Growth Opportunities and Learning Benefits

* arenaflex offers a dynamic and supportive environment that's perfect for growth and development

• Opportunities for career advancement and professional growth, with a focus on developing skills and expertise in data engineering, cloud computing, and collaboration
• Access to training and development programs, including online courses, workshops, and conferences
• Opportunities to work on high-impact projects and initiatives that make a real difference in people's lives
• Collaborative and team-oriented work environment, with a focus on open communication and feedback

Work Environment and Company Culture

* arenaflex is a human-driven, tech-engaged organization that's committed to training and developing our team members in the skills they need to succeed in the future

• We offer a dynamic and supportive environment that's perfect for growth and development
• Opportunities for career advancement and professional growth, with a focus on developing skills and expertise in data engineering, cloud computing, and collaboration
• Collaborative and team-oriented work environment, with a focus on open communication and feedback
• Flexible work arrangements, including remote work options and flexible hours

Compensation, Perks, and Benefits

* Competitive salary and benefits package, including health insurance, retirement savings, and paid time off

• Opportunities for career advancement and professional growth, with a focus on developing skills and expertise in data engineering, cloud computing, and collaboration
• Access to training and development programs, including online courses, workshops, and conferences
• Collaborative and team-oriented work environment, with a focus on open communication and feedback
• Flexible work arrangements, including remote work options and flexible hours

How to Apply

If you're passionate about data engineering, cloud computing, and collaboration, we want to hear from you! Please submit your resume and cover letter to [insert contact information]. We can't wait to hear from you and learn more about your skills and experience! Apply for this job