Kunai seeks a Senior Data Engineer to design, build, and optimize high-scale data pipelines and DynamoDB-backed storage for transactional and operational data. Role requires expert Python, deep DynamoDB data modeling and performance tuning, experience with ETL/ELT and streaming/batch processing, and AWS cloud familiarity; Apache Spark experience is a strong plus. No visa sponsorship is available for this role.

Consulting role responsible for end-to-end migration of a large financial-services data platform from Google Cloud (BigQuery, Cloud SQL, Dataflow) to AWS (Redshift, Aurora, DMS, Glue, S3). Work includes data mapping, schema conversion, ETL/ELT and CDC pipeline implementation, time-series and historical data migration at scale, and building monitoring/reconciliation frameworks. The role also involves mentoring teammates and partnering with client stakeholders on data governance, access patterns, and analytics requirements.