Senior Data Engineer
Buenos Aires, Argentina
USD 170K-240K (estimate) Senior-level Full Time
Tasks
- Build auditability replay recovery and rollback with S3 and Iceberg
- Build event driven data platform services on AWS
- Build streaming and ELT pipelines from databases APIs and event streams
- Collaborate across engineering, data, and product teams
- Contribute to data warehouse and data activation use cases
- Design and evolve scalable reliable distributed systems
- Design event sourced state and replayable systems
- Develop APIs and read models for downstream systems
- Develop Kafka pipelines and stream consumers
- Establish best practices for event driven architecture and data modeling
- Implement idempotency ordering retries and DLQs
- Integrate AI and LLM capabilities into data workflows
- Monitor and optimize system performance cost and reliability
- Optimize consistency latency and cost tradeoffs
Perks/Benefits
- Employee resource groups
- Financial assistance
- Flexible time off
- Healthcare benefits
- Hybrid work
- Learning and development programs
- Mental health and wellness resources
- Parental leave
- Volunteering program
Skills/Tech-stack
AWS | Apache Iceberg | CDC | Data Governance | Data Modeling | Data Warehouse | Dead-letter queues | Distributed Systems | ELT | Embeddings | Event Driven | Event-driven architecture | Go | Idempotency | Java | Kafka | Kotlin | Kubernetes | LLM | MySQL | Ordering | PostgreSQL | Prompt engineering | Python | RAG | Retries | S3 | SQL | Snowflake | Streaming Pipelines | System design | Terraform
Education
N/A
Roles
Regions
Countries
States
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