Backend Data Engineer
Tasks
- Collaborate with engineers analysts and marketing stakeholders on technical solutions
- Design build maintain data pipelines for marketing signals
- Implement and evolve lakehouse features for attribution audience segmentation ad spend optimization
- Monitor and troubleshoot pipeline health resolve data quality and latency issues
- Participate in agile ceremonies sprint planning refinement retrospectives
- Perform system design discussions code reviews and architectural decisions
- Propose improvements based on adtech privacy preserving measurement trends
- Write clean efficient well tested code in SQL Go and Spark Scala
Perks/Benefits
- Commute allowance
- Education budget
- Employee pension plan
- Employee stock purchase plan
- Equity via RSUs
- Family planning program
- Health/dental coverage
- Hybrid working model
- Life insurance
- Lunch card
- Mental health program
- Paid holiday
- Travel insurance
Skills/Tech-stack
Amazon Web Services | Apache Spark | C# | Data Quality | Data latency | Data pipeline | Distributed Systems | Event Driven | Event-driven architecture | Go | Java | Kotlin | Lakehouse | Python | SNS | SQL | SQLMesh | SQS | Scala | Web Services
Education
Roles
Backend | Backend & Data Engineer | Data Engineer | Engineer | Software Engineer
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