Senior Cloud Data Platform Engineer
Tasks
- Architect and implement change data capture solutions
- Build tune and maintain ClickHouse OLAP clusters
- Create and maintain streaming and batch data pipeline architecture
- Design build and operate Kafka streaming pipelines
- Design data governance rules and process improvements
- Expand data platform capabilities by integrating new technologies
- Explore AI integrations into data engineering workflows
- Implement ownership for platform issues
- Monitor and manage Kafka cluster health and schema governance
- Peer review code and promote DevOps culture
- Support stakeholders with data technical issues
Perks/Benefits
- Career growth and development
- Health and wellbeing resources and programs
- Hybrid work schedule 3 days in office minimum
- Opportunities to contribute to community causes
- Paid sick days
- Paid vacation
Skills/Tech-stack
Apache Airflow | Apache Flink | Apache Kafka | Avro | BigQuery | CI/CD | Change Data Capture | ClickHouse | Cloud Composer | Cloud SQL | Cloud platform | DAG | Data Capture | Dataproc | Debezium | Distributed query | GCP Dataflow | Google Cloud | Google Cloud Platform | Google Pubsub | Infrastructure as Code | JSON | Kafka Connect | Kafka Streams | Materialized views | MergeTree | ORC | Parquet | Protobuf | Python | SQL | Schema Registry | Spark Structured Streaming | Structured Streaming | Terraform | “as-code”
Education
N/A
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