Software Engineer (Data Platform)
- Джерело:
- djinni.co
Що робити
- Developing scalable solutions that extend application capabilities and improve data processing efficiency and system performance;
- Leading the technical implementation between the core data platform and the semantic layer, ensuring reliable data delivery to downstream applications and workflows;
- Designing data endpoints in the semantic layer that turn raw source data into structures usable by UIs, CLI tools and AI agents;
- Establishing monitoring, data quality checks and operational best practices across pipelines for faster issue detection and resolution;
- Taking full technical ownership of complex initiatives spanning data infrastructure and application/API components;
Що очікуємо
- 7+ years of software development experience, including building and supporting production systems with a focus on reliability, scalability and performance;
- Solid expertise in contract-based architecture, API design and building semantic and serving layers on top of data lakes or warehouses;
- Hands-on experience with data lake / warehouse technologies: Parquet, DuckDB, S3-compatible object storage, lakehouse table formats (Iceberg), cloud warehouses (Snowflake);
- Strong skills in at least one general-purpose language (Python or Go) and advanced SQL, with the ability to choose technologies based on project needs;
- Experience with orchestration, containerization and Kubernetes;
Що пропонуємо
- Experience with observability platforms (Prometheus, Grafana, OpenTelemetry) and data quality frameworks;
- Knowledge of marketing analytics: multi-touch attribution (MTA), marketing mix modeling (MMM), experimentation or customer data platforms.
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