Experienced Full Stack Data Entry Specialist – Web & Cloud Application Development at arenaflex
At arenaflex, we're a dynamic and innovative team of data enthusiasts, researchers, and engineers working together to tackle complex business challenges. We're building cutting-edge data systems that process terabytes of data daily, and we're looking for a talented individual to join our team as an Experienced Full Stack Data Entry Specialist. This role offers an exciting opportunity to contribute to one of the world's leading retail giants while utilizing your communication and data entry skills.
About arenaflex
arenaflex is a leading retail giant that's revolutionizing the way people shop and interact with our brand. We're committed to innovation, customer satisfaction, and employee growth. Our team is passionate about using data to drive business decisions and improve customer experiences. We're looking for a skilled data entry specialist to join our team and help us achieve our goals.
Job Summary
We're seeking an Experienced Full Stack Data Entry Specialist to join our team. As a key member of our data team, you'll be responsible for analyzing complex data sets, designing and implementing data models, and ensuring data quality and integrity. You'll work closely with our data engineers and stakeholders to deliver high-quality data solutions that meet business needs. If you're a detail-oriented, analytical, and communication-savvy individual with a passion for data, we encourage you to apply.
Key Responsibilities
* Analyze complex data sets to identify trends, patterns, and insights that inform business decisions
- Design and implement data models, including data warehousing and ETL/ELT pipelines
- Ensure data quality and integrity by identifying and resolving data inconsistencies and errors
- Collaborate with data engineers and stakeholders to deliver high-quality data solutions that meet business needs
- Develop and maintain data visualizations, reports, and dashboards to support business decision-making
- Provide expert guidance and direction to team members on data-related topics
- Stay up-to-date with industry trends, best practices, and emerging technologies in data science and engineering
Essential Qualifications
* Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field
- 5+ years of experience working with large, complex, and diverse datasets in enterprise-scale data warehousing or data engineering environments
- 5+ years of experience designing, implementing ETL/ELT pipelines to deliver high-quality data
- Strong proficiency in Python or similar programming languages
- Experience with data modeling tools like ERWIN, Visio, or similar
- 5+ years of experience working with social SQL and NoSQL databases, Hadoop, Google BigQuery, DataPlex, Amazon Redshift, Hive, and similar technologies
- Experience with reporting tools like Tableau, Looker, or similar
- Experience with workflow management tools like Airflow, Digdag, or similar
- Experience working with cloud-based technologies and big data systems
Preferred Qualifications
* Experience with metadata management, data lineage, and data quality using tools like Collibra
- Strong understanding of data science and machine learning concepts
- Experience working with cross-functional teams to deliver data-driven solutions
- Experience implementing functional procedures, such as monitoring, alerting, approval, and exemption handling
- Ability to communicate complex data insights to non-technical stakeholders
- Experience working with CI/CD pipelines and tools like Jenkins, GitLab, or similar
What We Offer
* Competitive salary and benefits package
- Opportunities for career growth and professional development
- Collaborative and dynamic work environment
- Access to cutting-edge technologies and tools
- Recognition and rewards for outstanding performance
- Comprehensive training and onboarding program
- Flexible work arrangements and remote work options
- Opportunities for professional certifications and education assistance
- Health, wellness, and employee assistance programs
- Paid time off, holidays, and sick leave
- Employee discounts and perks
How to Apply
If you're a motivated and detail-oriented individual with a passion for data, we encourage you to apply for this exciting opportunity. Please submit your application, including your resume, cover letter, and any relevant work samples or certifications. We can't wait to hear from you! Apply To This Job Apply for this job