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Tech Stack
Tools & technologiesAmazon RedshiftBigQueryCloudETLSQLTableau
About the role
Key responsibilities & impact- Hands-on design and implementation of dimensional data models, ETL/ELT pipelines (dbt), and data production processes.
- Own data-pipeline reliability: monitoring, alerting and SLAs.
- Define and enforce team workflows: version control (Git), CI/CD for dbt projects, code reviews, documentation standards and sprint cadence.
- Drive timely execution: prioritize backlog, track deliverables, and ensure all projects meet agreed-upon deadlines.
- Establish data-quality frameworks and best practices for data testing, lineage and governance.
- Optimize performance of data models and Tableau data extracts to balance freshness and cost.
- Build and maintain core Tableau dashboards and reporting layers for cross-functional stakeholders.
Requirements
What you’ll need- 5+ years in BI or data-engineering roles, with at least 2 years leading engineers.
- Deep expertise in dbt (data modeling), SQL, and building scalable data pipelines.
- Familiarity with cloud data warehouses (BigQuery, Snowflake, Redshift)
- Hands-on experience creating and maintaining Tableau dashboards.
- Strong software-engineering practices: Git, CI/CD, code reviews, documentation.
- Proven track record of delivering BI projects on time, with SLAs.
- Excellent communicator- able to navigate between technical depth and business clarity.
- Experience integrating machine learning models into data pipelines.
- Experience designing and building internal APIs for data access and consumption.
- Experience in gaming or other high-velocity consumer-tech environments - Advantage
Benefits
Comp & perks- Impact: You’ll shape the technology that powers experiences enjoyed by millions of players.
- Innovation: Join a company that encourages experimentation and creative problem solving.
- People-first culture: We believe the best products are built by teams that love working together.
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data modelingETLELTSQLdata pipelinesdata quality frameworksdata testingdata lineagedata governancemachine learning integration
Soft Skills
leadershipcommunicationprioritizationtime managementcollaborationdocumentationcode reviewsmonitoringalertingexecution
