platform engineer
генерация резюме под вакансию
сопроводительное письмо
описание
Block Labs is a technology studio operating at the intersection of Web3, Artificial Intelligence, and iGaming. The company engineers high-scale, production-grade platforms for digital products, focusing on advanced system design and technical excellence.
задачи
- Design, build, and maintain scalable data pipelines using AWS Glue (PySpark) or equivalent orchestration tools;
- Engineer and optimize the ClickHouse warehouse for sub-second query performance;
- Implement data contracts between back-office and the platform;
- Build the feature-serving layer providing pre-computed features to AI agents at millisecond latency;
- Integrate with third-party databases, back-office APIs, and external systems;
- Establish monitoring, alerting, and maintenance procedures including pipeline health checks, freshness monitoring, anomaly detection, and data contract SLA enforcement;
- Own CI/CD and infrastructure-as-code for data workloads;
- Collaborate with data scientists, agent engineers, BI developers, and infrastructure teams to translate data requirements into production-grade pipelines.
требования
- 3+ Years of experience building and operating production data pipelines at scale, covering both streaming and batch paradigms;
- Expertise in Apache Kafka or Amazon MSK, including topic design, consumer group management, and production troubleshooting;
- Strong SQL and warehouse engineering skills with columnar analytical databases like ClickHouse, Druid, BigQuery, or Redshift;
- Proficiency in PySpark and Spark Streaming for transformation jobs;
- Data modelling discipline with experience in designing multi-tenant schemas and schema governance;
- Experience with CI/CD, infrastructure-as-code (Terraform, CloudFormation, or CDK), and containerized workloads;
- Data quality and observability mindset with experience in pipeline health monitoring and automated data validation;
- Nice to have: Experience in iGaming, blockchain or crypto-native transaction flows, AWS-native environment, feature store experience (SageMaker, Feast, or Tecton), work in regulated industries, and migrating legacy query engines.
условия
- No conditions specified
навыки
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