A global skilled services network and part of the Big Four, along with Client, EY, and KPMG, operating across 149 countries worldwide.
Essential Job Functions:
- Validate data accuracy across extraction, transformation, and load (ETL).
- Implement automated checks to monitor pipeline health, performance, and error handling.
- Ensure schema, type, and business-rule conformance, including data validation and reconciliation between source and target systems.
- Build, scale, and maintain automation frameworks end-to-end.
- Perform end-to-end UI automation testing across modern web applications.
- Validate REST and GraphQL APIs for correctness and edge cases.
- Bridge UI and API layers for integrated test coverage.
- Integrate test suites into CI/CD pipelines.
- Perform root cause analysis for complex, multi-system issues.
- Trace failures across services, logs, and data layers.
- Test AI-powered solutions.
- Test and develop Agentic AI solutions, including MCP, RAG, and Prompting.
Qualifications:
- 10+ years of experience in data engineering/architecture roles.
- Strong hands-on AWS expertise.
- Experience architecting data products/platforms on Databricks.
- Delta Lake.
- Unity Catalog.
- Delta Live Tables (DLT).
- Databricks Workflows.
- Auto Loader.
- Client S3.
- AWS Glue.
- AWS Lambda.
- Client EMR.
- Client Redshift.
- AWS IAM.
- AWS VPC/Networking.
- Client Kinesis / MSK.
- Data Modeling.
- Dimensional Modeling.
- Medallion Architecture.
- Data Mesh.
- Domain-Oriented Design.
- Data Governance.
- Access Control.
- Data Lineage.
- Data Cataloging.
- PII/Data Classification.
- CI/CD for Data Pipelines.
- Databricks Asset Bundles.
- GitHub Actions.
- AWS CodePipeline.
- Data Quality.
- Data Observability.
- Performance Tuning.
- Cost Optimization.
- Apache Spark.
- Batch Processing.
- Streaming Data.
- Strong communication skills.
- Architecture Reviews.
- Technical Design Sessions.
- Engineering
📌 Data Architect (Bengaluru)
🏢 VARITE
📍 Bengaluru
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