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 decisions and create innovative solutions. As a key member of our Data Engineering team, you'll play a critical role in shaping the future of data-driven decision-making at arenaflex.
About arenaflex
arenaflex is a leading innovator in the entertainment industry, with a rich history of creating magical experiences for audiences around the world. Our Data Engineering team is part of the Disney Choice Science + Mix (DDSI) association, which supports clients across The Walt Disney Organization, including Disney Parks, Experiences and Products, Disney Media Networks, and ESPN.
Job Summary
We're seeking an experienced Data Engineer to join our team and help us develop and support cloud-based data pipelines that drive business value and inform strategic decisions. As a Data Engineer, you'll work closely with our Choice Science, Client, and Innovation colleagues on various projects, including data pipeline development, data set design, and data visualization.
Key Responsibilities
* Develop and maintain data pipelines using ETL/ELT tools and technologies, such as Snowflake, PostgreSQL, and Python
- Design and implement data set schema, tables, and views to support data analysis and visualization
- Collaborate with data scientists and analysts to deliver high-quality data sets and support data-driven decision-making
- Develop and maintain automated workflows and schedulers to ensure data pipeline efficiency and reliability
- Work with cross-functional teams to identify and prioritize data engineering projects and initiatives
- Stay up-to-date with emerging trends and technologies in data engineering and cloud computing
Essential Qualifications
* Bachelor's degree in Computer Science, Mathematics, Engineering, or related field
- 2+ years of experience in ELT/ETL data pipeline development and support
- Strong proficiency in Python and SQL, with experience working with Snowflake and PostgreSQL
- Experience with cloud-based data platforms, such as Snowflake, Databricks, or AWS
- Strong understanding of data set design and data visualization principles
- Experience working with version control systems, such as GitLab or GitHub
Preferred Qualifications
* Experience working with large datasets and big data technologies, such as Hadoop or Spark
- Proficiency in cloud design and product development, with experience working with AWS
- Experience managing and deploying code using a source control system, such as GitLab or GitHub
- Experience using Docker and containerization technologies
What We Offer
* Competitive salary and benefits package
- Opportunity to work on high-impact projects that drive business value and innovation
- Collaborative and dynamic work environment with a talented team of data engineers and scientists
- Professional development and growth opportunities, including training and mentorship programs
- Flexible work arrangements, including remote work options
How to Apply
If you're passionate about data engineering and cloud computing, and you're looking for a challenging and rewarding role that will help you grow your skills and career, we encourage you to apply. Please submit your resume and a cover letter that highlights your experience and qualifications for this role. Apply Now! Apply for this job