Found Description
At VIDA we're building the future of digital identity. As a Data Engineer you'll work across the stack—from platform and infrastructure to data pipelines and end-user tooling. You'll help us modernize our batch ETLs and lead our push into streaming and real-time fraud detection. We run on AWS and make extensive use of Scala Spark, dbt, and Terraform.
Responsibilities
Build and expose the data lake/lakehouse so teams can understand business and product performance and make better decisions. Design and evolve a data platform that enables scientists and analysts to query, model, and ship features and product metrics. Develop scalable and reliable batch and streaming pipelines that ingest from varied sources and land trusted datasets. Maintain and fix existing ETLs, improving reliability, observability, and cost while planning safe backfills and replays. Model curated layers and maintain transformation logic (e.g., dbt ), including testing, documentation, and data quality...