We are looking for a Senior Data Platform Engineer with strong experience in real-time data streaming, distributed systems, and cloud-based data pipelines. The candidate will build and maintain scalable ETL pipelines using Apache Flink, Apache Kafka, and CDC technologies.
Key Responsibilities
- Build and maintain end-to-end streaming data pipelines.
- Develop and troubleshoot real-time processing jobs using Flink and Kafka.
- Implement CDC ingestion using Debezium or similar technologies.
- Design SQL queries, schemas, and data contracts.
- Deploy and troubleshoot workloads on Kubernetes.
- Implement checkpointing, fault recovery, monitoring, and automated testing.
- Collaborate with downstream teams to ensure reliable data delivery.
Required Qualifications
- 5+ years of experience building production streaming data pipelines.
- Hands-on experience with Apache Kafka and Flink or similar technologies.
- Strong knowledge of SQL, CDC, and distributed systems.
- Experience with stream processing, checkpointing, and fault tolerance.
- Experience deploying applications on Kubernetes or similar platforms.
- Strong debugging, testing, and cross-team collaboration skills.
Preferred Skills
- Debezium and log-based CDC.
- OLAP databases such as StarRocks, ClickHouse, Druid, or Pinot.
- Cloud data platforms and multi-tenant SaaS environments.
- AI-assisted development tools.
Expected Outcome Deliver production-ready streaming pipelines, onboard new data domains, establish data contracts, and improve deployment automation and pipeline reliability.
📌 Senior Data Engineer (México)
🏢 E-IT
📍 México
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