AWS Data Engineer

NTT DATA North America; Bengaluru Urban; On-site; INR 2,400,000 - 3,600,000; Full time

Job summary

NTT DATA seeks an AWS Data Engineer in Bengaluru to design, build, test, and support event-driven policy-data pipelines using S3, Lambda, SQS, and EventBridge. You will ensure data accuracy, idempotent processing, lineage, and performance across ingestion to serving lifecycle, with focus on secure, scalable cloud implementation.

You will work with Python/Java, PostgreSQL/Aurora PostgreSQL, and industry-standard tooling, tackling validation, transformations, and audit logging while supporting

Qualifications

• 5–7 years of data-engineering or backend-engineering experience, including 3+ years on AWS.
• Strong hands-on experience with AWS S3, Lambda, SQS, EventBridge, CloudWatch, IAM, KMS, Secrets Manager.
• Proficiency in Python; Java experience is valuable. SQL skills with PostgreSQL or Aurora PostgreSQL.
• Experience building event-driven and batch ingestion pipelines, schema validation, transformations, and audit logging.
• Strong understanding of JSON and relational data structures, data contracts, lineage, and metadata capture.
• Experience with Git-based development, CI/CD, automated deployment, and environment configuration.
• Knowledge of REST/OpenAPI contracts, authentication, and collaboration with microservices teams.

Responsibilities

• Develop ingestion components that receive landed policy data in S3 and validate data.
• Build Lambda and SQS processing patterns with visibility, batching, retry, and dead-letter handling.
• Implement transformations into canonical Policy Master while preserving lineage.
• Write optimized SQL to load Aurora PostgreSQL with referential integrity and high throughput.
• Develop reconciliation controls across source, landing, transformed, and target data.
• Create unit, component, and integration tests and participate in peer reviews.
• Instrument pipelines with logs, metrics, alerts, and correlation IDs; ensure observability.
• Partner with data modeler, solution architect, API engineer, DevSecOps, test engineer, and SMEs.
• Support CI/CD deployment and infra configuration and contribute to runbooks.
• Tune Lambda, SQS, and data-access patterns for performance and cost; meet SLAs.
• Participate in production-readiness reviews, incident resolution, and root-cause analysis.

Skills

AWS

Python

Java

SQL

PostgreSQL

Aurora PostgreSQL

S3

Lambda

EventBridge

SQS

CloudWatch

IAM

KMS

Secrets Manager

CI/CD

REST APIs

Git

Tools

PostgreSQL

Aurora PostgreSQL

Python

Java

Job description

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization.

We are currently seeking a AWS Data Engineer to join our team in Bangalore, Karnātaka (IN-KA), India (IN).

Position Overview

The AWS Data Engineer will design, build, test, and support event-driven policy-data pipelines that move landed files and events through validation, buffering, transformation, and persistence into the Aurora-based Policy Master. Working within established architecture and data-model standards, the engineer will develop secure and reusable components using S3, Lambda, SQS, EventBridge, Python or Java, SQL, and AWS monitoring services. The role is accountable for data accuracy, idempotent processing, lineage, reconciliation, performance, recoverability, and production support across the ingestion-to-serving lifecycle.

Required Skills and Experience

• 5–7 years of data-engineering or backend-engineering experience, including at least 3 years of hands-on development on AWS.
• Strong hands-on experience with AWS S3, Lambda, SQS, EventBridge, CloudWatch, IAM, KMS, Secrets Manager, and related serverless integration patterns.
• Proficiency in Python; Java experience is valuable. Strong SQL skills and practical experience developing against PostgreSQL or Amazon Aurora PostgreSQL.
• Experience building event-driven and batch ingestion pipelines, schema validation, transformations, canonical data mappings, error handling, retry, dead-letter queues, replay, idempotency, and audit logging.
• Strong understanding of JSON and relational data structures, data contracts, schema evolution, reference data, data quality rules, reconciliation, lineage, and metadata capture.
• Experience writing unit and integration tests and using Git-based development, code review, CI/CD pipelines, automated deployment, and environment-specific configuration.
• Working knowledge of API-driven data consumption, REST or OpenAPI contracts, authentication and authorization, and collaboration with microservices teams.
• Ability to troubleshoot distributed workloads using logs, metrics, traces, CloudWatch dashboards, and correlation identifiers; familiarity with performance and cost optimization.
• Understanding of secure cloud engineering including least-privilege IAM, encryption in transit and at rest, VPC integration, secrets management, and protection of sensitive policy data.
• Experience with insurance policy data, policy administration platforms such as OIPA, mainframe feeds, canonical insurance models, or operational data stores is preferred; AWS Developer or Data Engineer certification is an advantage.

Duties

• Develop ingestion components that receive landed policy data in S3 and perform file, event, schema, completeness, and business-rule validation.
• Build Lambda and SQS processing patterns with appropriate message visibility, batching, ordering where required, retry, dead-letter handling, replay, and duplicate-event protection.
• Implement transformations from source-specific policy feeds into the approved canonical Policy Master structure, preserving source lineage and effective-dated history where required.
• Write optimized SQL and data-access logic to load Aurora PostgreSQL while maintaining referential integrity, transaction control, auditability, and high-throughput processing.
• Develop reconciliation controls across source, landing, transformed, and target data, including record counts, control totals, reject reporting, and explainable exception handling.
• Create automated unit, component, and integration tests and participate in peer reviews to ensure code quality, security, maintainability, and adherence to engineering standards.
• Instrument pipelines with structured logging, metrics, alerts, trace or correlation IDs, and operational dashboards; ensure failures are observable and recoverable.
• Partner with the data modeler, solution architect, API engineer, DevSecOps engineer, test engineer, and policy SMEs to refine stories, mappings, contracts, and acceptance criteria.
• Support CI/CD deployment and infrastructure configuration, diagnose issues across development through production, and contribute to runbooks and support procedures.
• Tune Lambda, SQS, Aurora interactions, data access, and processing patterns for performance, resilience, concurrency, and cost while meeting defined service levels.
• Participate in production-readiness reviews, cutover, hypercare, incident resolution, root-cause analysis, and remediation of defects or technical debt.

About NTT DATA

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.

NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.