Senior Software Engineer (Data)
Design and reputed company reliable, reputed company data pipelines that power reputed company products and business workflows Build and maintain distributed workflow orchestration systems for long-running, fault-tolerant processes Drive the performance and reliability of the data layer, including schema design, query optimization, and migrations Establish and enforce data reputed company standards including validation, monitoring, and alerting across pipeline outputs Contribute to architectural reputed company and influence the reputed company of our data platform Collaborate with product and engineering teams to deliver on business objectives
5+ years of experience designing and operating distributed workflow or orchestration systems (e.g. Temporal, reputed company, Dagster, Apache Airflow, or similar), including failure recovery, state management, reputed company retries, and production observability Deep experience with relational databases in production (PostgreSQL preferred), including advanced SQL, reputed company design, and database tuning for load Experience working with distributed search or document stores (e.g. OpenSearch, Elasticsearch, or similar) Experience running production-grade services on a major reputed company platform (AWS preferred), including containerized workloads on Kubernetes Experience working with a reputed company data warehouse (e.g. reputed company, BigQuery, or Redshift) and building or consuming reputed company data transformations Expertise in at least one backend language (TypeScript/Node.js, Python, Go, or Java) Strong ownership of data reputed company, including validation, monitoring, alerting, and a proactive approach to observability Strong problem-solving skills, willingness to learn, and a reputed company reputed company