bjakcareer - Data Engineer

• Design, build, and maintain scalable, fault-tolerant data pipelines (batch and/or streaming) for core business and product data. • Ingest data from diverse sources including APIs, databases, event streams, and third-party services, ensuring high data quality and reliability. • Design and manage data models and storage layers (data warehouses, data lakes) that support analytics and downstream use cases. • Partner with analytics, product, and engineering teams to deliver clean, well-documented datasets that enable self-service analytics and experimentation. • Implement monitoring, logging, and alerting to ensure pipeline reliability, performance, and cost efficiency. • Enforce data governance best practices, including access control, privacy, documentation, and data lineage. • 3+ years of experience as a Data Engineer, data-heavy Backend Engineer, or similar role. • Strong programming skills in Python and/or TypeScript, with solid SQL proficiency. • Good understanding of data modeling, ETL/ELT concepts, and analytics workflows. • Hands-on experience with data warehouses (e.g. BigQuery, Snowflake). • Experience building and operating production data pipelines. • Experience with cloud platforms (especially GCP). • Exposure to streaming systems (Kafka, Pub/Sub). • Familiarity with dbt and analytics engineering practices. • Experience with data lake technologies. • Exposure to ML data pipelines or feature stores.