Senior Data & Analytics Engineer

As a Senior Data & Analytics Engineer in this role, you will be responsible for designing scalable ClickHouse schemas for search, clickstream, and conversion data. Your primary tasks will involve building ETL/ELT pipelines (Kafka ClickHouse/Postgres) using Python/dbt/Spark and developing Grafana dashboards for search funnel, latency, and error monitoring. You will also implement OpenTelemetry across services and define Prometheus alerts to ensure data quality, governance, and compliance with GDPR/CCPA regulations. Additionally, mentoring two junior data engineers will be part of your responsibilities. Key Responsibilities: - Design scalable ClickHouse schemas for search, clickstream, and conversion data. - Build ETL/ELT pipelines (Kafka ClickHouse/Postgres) using Python/dbt/Spark. - Develop Grafana dashboards for search funnel, latency, and error monitoring. - Implement OpenTelemetry across services and define Prometheus alerts. - Ensure data quality, governance, and compliance with GDPR/CCPA. - Mentor two junior data engineers. Qualifications Required: - 4-7 years of data engineering experience, ideally with ClickHouse. - Experience with Kafka pipelines (Python or Kafka Connect). - Strong SQL skills (Postgres/MSSQL). - Proficiency in Grafana, Prometheus, and observability practices. Nice-to-Have: - Familiarity with Airflow/Dagster and dbt. - Exposure to feature store. - Basic knowledge of Terraform.,