AWS Data Engineer

Overview

Design and maintain the data layer for an AWS-based data platform, covering source onboarding, transformations, datasets and data quality controls.

What you'll do

• Design and maintain the data layer, including source onboarding, transformations, datasets, and data quality controls.
• Implement cleansing, profiling, lineage tracking, and reconciliation processes.
• Establish defect-to-rule traceability and monitoring.

What you'll need

• Strong SQL skills, ideally Trino/Athena dialects.
• AWS ETL/ELT architecture and implementation experience.
• Data modeling and schema evolution management.
• Data quality frameworks and observability tooling.
• Experience with declarative YAML-based metadata and transformation specifications.
• One or more of: Semantic Layers and Knowledge Graphs; Ontology-driven Analytics; Data Virtualization and Federated Query Architectures; Natural Language Analytics / Text-to-SQL; AWS and Databricks ecosystems; Enterprise Data Governance; Modern AI-assisted analytical platforms; Experience with graph databases.

Details

• Location: Bangalore.