Experienced Data Entry Specialist – Cloud-Based Data Pipelines and ETL Processes

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 our Supported Pursuit Publicizing stage. If you're passionate about data engineering, cloud computing, and collaboration, we invite you to join our dynamic team as an Experienced Data Entry Specialist.

About arenaflex

arenaflex is a global retail leader that's committed to using technology to make life easier for millions of people. Our Worldwide Tech team is a group of talented programmers, data scientists, network security experts, and operations professionals who are shaping the future of retail. We're a human-driven, tech-engaged organization that values innovation, collaboration, and continuous learning. Our team is passionate about developing cutting-edge solutions that transform the retail experience.

Job Summary

As an Experienced Data Entry Specialist, you'll be responsible for accurately inputting, updating, and maintaining data into our database systems. You'll work closely with cross-functional teams to ensure data quality, accessibility, and reliability for analysis and reporting. This is a full-time position available for both night and day shifts, offering the flexibility to work remotely.

Key Responsibilities

* Design, implement, and maintain data pipelines, datasets, and ETL processes for our 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 scrum teams, QA, Product, Program Management, and Partner Operations to ensure seamless data integration and analysis
• Participate in 24/7 on-call rotations to investigate production issues across cross-functional teams
• Develop and maintain strong, adaptable data pipelines for ingesting, transforming, and storing large volumes of data to support marketing on Walmart.com and its subsidiaries

What You'll Bring

* Demonstrated aptitude in data engineering concepts, data set design, ETL cycles, and data mining

• Capability 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 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, data science, or related field
• Strong understanding of data engineering concepts, data set design, ETL cycles, and data mining
• Experience with cloud platforms like Azure and Google Cloud
• Strong skills in programming languages like Python, Java, and C++
• Experience with data technologies like SQL, Hadoop, and NoSQL databases

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 big data technologies like Hadoop, Spark, and NoSQL databases
• Strong skills in data visualization tools like Tableau and Power BI
• Experience with DevOps tools like Jenkins and Docker

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 standards
• Ability to adapt to changing priorities and deadlines
• Strong technical skills in data engineering, cloud computing, and collaboration

Career Growth Opportunities and Learning Benefits

* Opportunities for professional growth and development in a dynamic and innovative organization

• Access to cutting-edge technologies and tools for data engineering and cloud computing
• Collaborative and supportive team environment with opportunities for knowledge sharing and learning
• Flexible work arrangements, including remote work options
• Competitive compensation and benefits package

Work Environment and Company Culture

* arenaflex is a global retail leader that's committed to using technology to make life easier for millions of people

• Our Worldwide Tech team is a group of talented programmers, data scientists, network security experts, and operations professionals who are shaping the future of retail
• We're a human-driven, tech-engaged organization that values innovation, collaboration, and continuous learning
• Our team is passionate about developing cutting-edge solutions that transform the retail experience

Compensation, Perks, and Benefits

* Competitive compensation package, including salary and benefits

• Flexible work arrangements, including remote work options
• Access to cutting-edge technologies and tools for data engineering and cloud computing
• Opportunities for professional growth and development in a dynamic and innovative organization
• Collaborative and supportive team environment with opportunities for knowledge sharing and learning

How to Apply

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