Senior Engineer, Data Engineering

6 days ago

Bangalore, India VIDA Digital Identity Full time

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. 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. 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. Terraform ) and contribute to CI/CD and deployment practices. Partner with Engineering, and Data Science to deliver low-latency signals and features for real-time decisioning. Solid engineering foundation with 5+ years of relevant experience in data engineering and/or distributed systems. Hands-on work building data pipelines (batch and/or streaming) using at least one distributed framework (e.g., Comfortable with SQL and a transformation framework (e.g., Familiarity with AWS services for data (any mix of S3, EMR/Glue, Kinesis/MSK, Lambda, Redshift/Athena) or equivalent cloud experience. Experience using Terraform (or similar IaC) to manage data/platform resources. We believe this must change—and that digital identity should be trustworthy, private, and accessible to everyone. At VIDA, we’re creating a frictionless digital identity system that meets the needs of our time and works anywhere, for everyone. Global initiatives like the UN and World

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