AWS Data Engineer

NTT
Bengaluru
Full timeFunction: DevOps, Cloud & InfrastructureExperience: 5-7 yearsSkills: ["Collaboration","Secure engineering","Troubleshooting","Quality assurance"]

Design and build event-driven, policy-data pipelines on AWS that move landed files and events through validation, buffering, transformation, and persistence into an Aurora-based Policy Master. Own data accuracy and idempotent processing across the ingestion-to-serving lifecycle, implementing secure, reusable serverless components with strong SQL and testing practices. Ensure observability, reconciliation, lineage, and production support by collaborating with data modelers, architects, and engineers.

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FursaFursa
NTT
NTT
5 days ago

AWS Data Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 1 hour agoStatus: Live

Job Summary

Design and build event-driven, policy-data pipelines on AWS that move landed files and events through validation, buffering, transformation, and persistence into an Aurora-based Policy Master. Own data accuracy and idempotent processing across the ingestion-to-serving lifecycle, implementing secure, reusable serverless components with strong SQL and testing practices. Ensure observability, reconciliation, lineage, and production support by collaborating with data modelers, architects, and engineers.
Location: Bengaluru
Employment Type: Full time
Job Function: DevOps, Cloud & Infrastructure
Seniority: Mid level

Key Responsibilities

  • •Develop ingestion components in S3 with file/event/schema/completeness/business-rule validation.
  • •Build Lambda and SQS processing patterns including batching, ordering (where required), retries, DLQ handling, replay, and duplicate-event protection.
  • •Implement transformations from source policy feeds into the canonical Policy Master structure, preserving lineage and effective-dated history.
  • •Write optimized SQL and data-access logic to load Aurora PostgreSQL while ensuring referential integrity, transaction control, auditability, and high-throughput processing.
  • •Instrument, reconcile, and support production pipelines with structured logging/metrics/alerts and participate in readiness reviews, incident resolution, and remediation.

Key Requirements

  • •5–7 years of data-engineering or backend-engineering experience, including at least 3 years hands-on AWS development.
  • •Strong AWS experience with S3, Lambda, SQS, EventBridge, CloudWatch, IAM, KMS, Secrets Manager and serverless integration patterns.
  • •Proficiency in Python (Java valuable) and strong SQL experience with PostgreSQL or Amazon Aurora PostgreSQL.
  • •Experience building event-driven and batch ingestion pipelines with validation, transformations, schema evolution, error handling, retries, DLQs, replay, idempotency, and audit logging.
  • •Experience with secure cloud engineering (least-privilege IAM, encryption in transit/at rest, VPC integration, secrets management) and unit/integration testing with CI/CD.
Experience:5-7 yearsAWSData engineeringBackend engineeringServerlessInsurance policy data
Skills:CollaborationSecure engineeringTroubleshootingQuality assurance
Certifications:AWS DeveloperData Engineer
Tech Stack:AWSS3LambdaSQSEventBridgeCloudWatchIAMKMSSecrets ManagerPythonJavaSQLPostgreSQLAmazon Aurora PostgreSQLAurora PostgreSQLRESTOpenAPIGitCI/CDJSON

Company Brief

NTT
Dimension Data, operating under NTT Ltd, provides managed IT services, cloud and data center solutions, networking, cybersecurity, and digital transformation services to enterprise customers worldwide.
Industry: Professional Services
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Established Company
Valuation: Public Company (Market Cap in USD)
Headquarters: London, United Kingdom
Founded: 1983
WebsiteLinkedIn