Experienced Data Engineer – Cloud-Based Data Pipeline Development and Support
At arenaflex, we're on a mission to revolutionize the way we collect, process, and analyze data to drive business growth and innovation. As a leading player in the entertainment industry, we're constantly seeking talented individuals who share our passion for data-driven decision making. We're excited to announce an exciting opportunity for an Experienced Data Engineer to join our Data Engineering team at arenaflex.
About arenaflex
arenaflex is a global leader in the entertainment industry, with a rich history of innovation and creativity. Our company is built on a foundation of imagination, creativity, and a passion for storytelling. We're committed to pushing the boundaries of what's possible and creating unforgettable experiences for our audiences. Our Data Engineering team plays a critical role in supporting our business operations, and we're looking for a talented individual to join our team.
Job Summary
We're seeking an Experienced Data Engineer to join our Data Engineering team at arenaflex. As a Data Engineer, you'll be responsible for designing, developing, and maintaining large-scale data pipelines and systems that support our business operations. You'll work closely with our Data Science team to develop and deploy data-driven solutions that drive business growth and innovation. If you're passionate about data engineering, cloud-based technologies, and collaboration, we'd love to hear from you.
Key Responsibilities
As a Data Engineer at arenaflex, you'll be responsible for:
- Designing, developing, and maintaining large-scale data pipelines and systems that support our business operations
- Collaborating with our Data Science team to develop and deploy data-driven solutions that drive business growth and innovation
- Developing and maintaining ETL/ELT data pipelines using SQL, Python, and other technologies
- Creating and maintaining data sets, tables, and views to support data analysis and science
- Delivering high-quality data sets as input to science models and visualizations
- Working with our DevOps team to ensure smooth deployment and maintenance of data pipelines and systems
- Collaborating with our Data Governance team to ensure data quality and compliance with regulatory requirements
- Participating in code reviews and ensuring adherence to coding standards and best practices
- Staying up-to-date with emerging technologies and trends in data engineering and cloud-based computing
Essential Qualifications
To be successful in this role, you'll need:
- A Bachelor's degree in Computer Science, Mathematics, Engineering, or a related field
- 2+ years of experience in ELT/ETL data pipeline development and support
- Proficiency in Python and SQL (ideally with Snowflake)
- Experience with creating and maintaining automated work schedulers
- Strong understanding of data set design and architecture
- Experience working with large datasets and big data technologies (ideally cloud-based, like Snowflake, Databricks, or similar)
Preferred Qualifications
While not required, the following qualifications would be a plus:
- Experience working with huge datasets and large data technologies, ideally cloud-based
- Proficiency in cloud design and product contributions, ideally AWS
- Experience overseeing and delivering code using a source control item like GitLab/GitHub
- Experience using Docker
What We Offer
As a Data Engineer at arenaflex, you'll enjoy:
- Competitive salary and benefits package
- Opportunity to work on exciting and challenging projects that drive business growth and innovation
- Collaborative and dynamic work environment with a team of talented professionals
- Professional development and growth opportunities to help you advance your career
- Flexible work arrangements, including remote work options
- Access to cutting-edge technologies and tools to support your work
- Recognition and rewards for outstanding performance and contributions
How to Apply
If you're passionate about data engineering, cloud-based technologies, and collaboration, we'd love to hear from you. Please submit your resume and a cover letter explaining why you're the perfect fit for this role. We can't wait to hear from you! Apply Now! Apply for this job