vault and data warehouses. Our data engineers create pipelines that support our data scientists and power our front-end applications. This means we do data-intensive work for both OLTP and OLAP use cases. Our environments are primarily cloud-native spanning AWS, Azure and GCP, but we also work on systems running self-hosted open source services exclusively. We strive More ❯
on writing clean, efficient code A solid understanding of configuration management and issue tracking systems Knowledge of HTML, JavaScript, Java, JSON , and a willingness to learn new technologies Strong OLTP experience What We’re Looking For: Exceptional diagnostic and analytical skills Commitment to producing robust, maintainable code Strong interpersonal and team skills with the ability to collaborate effectively Adaptability in More ❯
vault and data warehouses. Our data engineers create pipelines that support our data scientists and power our front-end applications. This means we do data-intensive work for both OLTP and OLAP use cases. Our environments are primarily cloud-native spanning AWS, Azure and GCP, but we also work on systems running self-hosted open source services exclusively. We strive More ❯
frameworks (e.g., Apache Spark, Flink, Kafka Streams, Beam), including orchestration via Airflow, Prefect or Dagster. Data Modeling & Schema Management: Demonstrated expertise in designing, evolving, and documenting schemas (OLAP/OLTP, dimensional, star/snowflake, CDC), data contracts, and data cataloguing. API & Integration Fluency: Building data ingestion from REST/gRPC APIs, file drops, message queues (SQS, Kafka), and 3rd party More ❯
