Experienced Full Stack Data Engineer – Cloud-Based Data Pipeline Development
Join arenaflex, a leading innovator in the entertainment industry, as we seek a highly skilled and motivated Full Stack Data Engineer to join our team. As a key member of our Data Engineering team, you will play a critical role in designing, building, and maintaining the data pipelines that power arenaflex's industry-leading, high-end global advertising business. If you're passionate about data engineering, have a strong background in cloud-based technologies, and are eager to work in a collaborative and dynamic environment, we encourage you to apply.
About arenaflex
arenaflex is a global leader in the entertainment industry, known for its innovative approach to storytelling and its commitment to delivering exceptional experiences to audiences around the world. Our company culture is built on a foundation of excellence, collaboration, and innovation, and we're always looking for talented individuals who share our passion for creativity and excellence.
Job Summary
The Senior Data Engineer will contribute to arenaflex's success by working with business, analytics, and engineering teams to design and build data pipelines that enable measuring customer behavior and metrics. Collaborating across disciplines, you will identify internal and external data sources, design table schemas, define ETL pipelines, and implement automated data quality checks.
Key Responsibilities
* Collaborate with technical and non-technical stakeholders to understand data and reporting requirements (40%)
- Work with engineering teams to gather required data from internal and external systems (20%)
- Design table schemas and define ETL pipelines to build performant data solutions that are reliable and flexible in a rapidly evolving data ecosystem (20%)
- Develop and maintain ETL schedules using ETL and orchestration tools like Apache Beam (10%)
- Execute database operations using tools like DBeaver (5%)
- Perform ad-hoc analysis as needed (5%)
- Perform SQL and ETL tuning as needed (5%)
Essential Qualifications
* 2+ years of relevant data engineering experience
- Strong understanding of data modeling principles, including layered modeling and data standardization
- Excellent understanding of SQL engines and ability to lead advanced performance tuning
- Ability to think critically, analyze, and interpret market and customer data
- Strong communication skills - written and verbal presentations
- Excellent problem-solving and analytical skills
- Willingness to work in a fast-paced and highly collaborative environment
- Knowledge of Agile Scrum principles and practices
Preferred Qualifications
* 2+ years of experience implementing and monitoring business key performance indicators in data warehousing environments
- 2+ years of experience using scientific SQL, working with traditional relational databases or distributed systems (Snowflake or Redshift)
- 2+ years of experience programming languages (e.g., Python, PySpark)
- 2+ years of experience with data organization/ETL tools (Apache Beam, Nifi)
- Experience with Snowflake, Databricks/EMR/Flume, or Apache Beam
What We Offer
* Competitive salary and benefits package
- Opportunity to work on high-profile projects and collaborate with a talented team of engineers and data scientists
- Professional development and growth opportunities
- Collaborative and dynamic work environment
- Flexible work arrangements and 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. Even if you feel you're not a perfect match, we'd still love to hear from you. We're looking for great people to join our friendly team. Apply To This Job Apply for this job