Experienced Full Stack 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 key member of our Data Engineering team, you'll play a critical role in designing and developing scalable, cloud-based data pipelines that enable our business stakeholders to make data-driven decisions.
About arenaflex
arenaflex is a leading entertainment and media conglomerate that brings joy and wonder to people's lives through its iconic brands, including Disney Parks, Experiences and Products, Disney Media Networks, and ESPN. Our Data Science + Mix (DDSI) association is responsible for supporting clients across the organization, leveraging innovation, data analysis, and econometric modeling to drive business value.
Job Summary
We're seeking an experienced Full Stack Data Engineer to join our Data Engineering team, responsible for designing and developing cloud-based data pipelines that support our Media business. As a key member of this team, you'll work closely with our Data Science, Client, and Innovation colleagues to deliver high-quality data products that meet the needs of our business stakeholders.
Key Responsibilities
* Design and develop scalable, cloud-based data pipelines using ETL/ELT tools and technologies
- Collaborate with cross-functional teams to gather requirements, plan, and execute data pipeline projects
- Develop and maintain data pipelines using SQL, Python, and other programming languages
- Create and manage data sets, tables, and views using data modeling tools and techniques
- Deliver high-quality data products to support business stakeholders, including data scientists, analysts, and product managers
- Work with our Data Science team to develop and deploy machine learning models and algorithms
- Collaborate with our Client and Innovation teams to design and develop data-driven solutions that meet business needs
- Develop and maintain automated workflows and schedulers to ensure data pipeline efficiency and reliability
- Troubleshoot and resolve data pipeline issues and errors in a timely and efficient manner
Advancements and Tools
* SQL (primarily Snowflake and PostgreSQL)
- Python
- Docker
- Gitlab
- Wind stream
- Cloud-based data platforms, such as Snowflake, Databricks, and AWS
What You'll Need
* Four-year college education in Software Engineering, Mathematics, Computer Science, or a related field
- 2+ years of experience in ELT/ETL data pipeline development and support
- Demonstrated expertise in using Python and SQL (ideally with Snowflake)
- Experience working in a multi-cloud environment (Dev, QA, Prod, etc.) and DEVOPS strategies for code organization and development
- Experience creating and maintaining automated workflow schedulers
- Strong understanding of data modeling and data warehousing concepts
What Will Set You Apart
* Experience working with large datasets and big data technologies, ideally cloud-based, such as Snowflake, Databricks, or similar
- Proficiency in cloud design and product development, ideally AWS
- Experience managing and deploying code using a source control tool like GitLab/GitHub
- Experience using Docker
Why Join arenaflex?
* Competitive salary and benefits package
- Opportunity to work with a leading entertainment and media conglomerate
- Collaborative and dynamic work environment
- Professional growth and development opportunities
- Flexible work arrangements, including remote work options
- Access to cutting-edge technologies and tools
- Recognition and rewards for outstanding performance
How to Apply
If you're a motivated and experienced data engineer looking for a new challenge, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter outlining your experience and qualifications for this role. We can't wait to hear from you! Apply Now! Apply for this job