Sr. Data Engineer (AI Platform - Poland)
Tasks
- Build and maintain data ingestion pipelines
- Build shared libraries and internal developer tooling
- Build structured output pipelines
- Design and evolve APIs for risk intelligence data
- Ensure async task processing reliability
- Implement health monitoring autoscaling alerting incident response
- Integrate large language models into production AI agent workflows
- Manage service lifecycle from creation to decommission
Perks/Benefits
Skills/Tech-stack
AWS Batch | AWS DMS | AWS Lambda | AWS S3 | Airflow | Amazon ECS | Amazon RDS | Amazon SQS | Anthropic | Apollo Federation | Asyncio | Batch Processing | Celery | Data Lake | Data Warehouse | Datadog | Distributed Processing | Docker | DynamoDB | ELT | ETL | Fault Tolerance | Google Vertex | Google Vertex AI | GraphQL | Infrastructure as Code | Kafka | MLflow | Observability | OpenAI | Pandas | Polars | PostgreSQL | Pydantic | Pydantic AI | Python | SDLC | SQL | SQLAlchemy | Streaming Data | Task Queues | Terraform | Vertex AI | “as-code”
Education
N/A
Roles
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