Data Engineer
Core
Design, build, and maintain data infrastructure and pipelines to enable data-driven decision-making for ticket sales forecasting, marketing performance, and financial reporting across a global theater production company.
Role type
Data Engineer
Builds
Data pipelines, data models, and optimized data warehouse infrastructure
Domain
Entertainment / Theater production / Big Data
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Data pipelines, ETL processes, data modeling, SQL, Python, BigQuery, Google Cloud Platform (GCP), DBT, Git
Preferred skills
Power BI, CI/CD (GitHub Actions), big data concepts, software engineering best practices (clean code, TDD), data engineering certifications
Technologies
BigQuery, Fivetran, GCP, DBT, Git, Power BI, GitHub Actions
Responsibilities
Design and develop data models aligned with business requirements; Build and maintain data pipelines to move data from various sources into BigQuery using Fivetran; Develop ETL processes to cleanse, transform, and prepare data for analysis and reporting; Manage and optimize the BigQuery data warehouse for performance and efficiency; Implement data governance policies and security measures; Continuously monitor data pipelines and storage systems; optimize for quality and speed
Seniority
Mid-level (2+ years experience required, but starting level open to no experience)
