Senior Data Platform Engineer
Skills
About This Role
Overview
- As a Senior Data Platform Engineer at Ziina you will:
- Build and maintain scalable data pipelines and processing systems that ingest data from transactional databases, object storage, and external APIs
- Design and evolve our data warehouse architecture and data models to support analytics, reporting, and ML/AI use cases
- Improve the reliability, observability, and performance of our data systems
- Implement data quality checks and monitoring to ensure trusted, accurate data across the company
- Enable self-service data access and analytics so product, engineering, and business teams can make data-driven decisions independently
- Support the foundational capabilities that will power our ML and AI use cases as they grow
- Our tech stack:
- Snowflake as our data warehouse, with dbt for data transformation and modeling
- Dagster for orchestrating data pipelines, with Python for building ETL/ELT workflows
- Data ingestion from PostgreSQL, S3, and external APIs, supporting both transactional and event-driven use cases
- Metabase for analytics and internal reporting
- The broader Ziina engineering stack that the data platform integrates with:
- Typescript, Node.js and Nest.js for our main application's backend
- GraphQL Federation for our client-facing APIs and Kafka for our inter-service communication
- PostgresSQL for consistent and durable storage, Redis for quick fetching, Elasticsearch for quick searching
- AWS for hosting our cloud infrastructure and Kubernetes for orchestrating our workloads
- Terraform for IaC, GitHub Actions for CI/CD
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