Data Senior Engineer

NTT DATA North America; Hyderabad; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

NTT DATA is seeking a Data Senior Engineer for Hyderabad, India, to own hands-on quality engineering for AWS-based data and API validation. You will drive automated testing across S3, Lambda, SQS, and Aurora, ensuring production-readiness and secure exposure through APIs.

You will collaborate with developers and SMEs to build traceable test coverage, validate nonfunctional requirements, and support release readiness with strong analytical and communication skills.

Qualifications

• 5–7 years of software testing or quality-engineering experience.
• Hands-on AWS testing experience with S3, Lambda, SQS, API Gateway, and more.
• Strong SQL/data validation, reconciliation, and data integrity checks.
• Experience building automated test frameworks with Python/Java/JS.
• Experience with REST API testing: contracts, auth, versioning, errors.
• Knowledge of asynchronous/event-driven testing and reliability patterns.
• Familiar with CI/CD quality gates, Git workflows, and test-data mgmt.
• Strong analytical/communication skills; ISTQB/AWS cert a plus.

Responsibilities

• Translate requirements into a risk-based test strategy and automation scope.
• Develop and execute automated tests across S3, Lambda, SQS, Aurora, and APIs.
• Validate source-to-target mappings and canonical policy rules.
• Test asynchronous behavior: duplicates, out-of-order events, retries.
• Automate API tests and integrate into CI/CD pipelines.
• Conduct performance/load testing and identify bottlenecks.
• Validate security controls and data handling with security teams.
• Create representative test data and maintain reusable datasets.
• Log defects with evidence and support triage, root-cause analysis, and retest.
• Track coverage, trends, and residual risk; support release readiness.
• Assist with production-readiness validation and regression suite improvements.

Skills

AWS services

SQL and data validation

Automation scripting

REST API testing

CI/CD/quality gates

Tools

pytest

JUnit

REST Assured

Postman/Newman

Karate

Job description

Job Description: Req ID: 386160

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 Data Senior Engineer to join our team in Hyderabad, Telangana (IN-TG), India (IN).

1 | Position Overview

The Test Engineer will own hands-on quality engineering for the AWS Policy Master flow, with primary emphasis on automated data, API, integration, reconciliation, resilience, performance, and production-readiness testing. The role validates that policy feeds are accurately processed from S3 through Lambda and SQS into Aurora and are securely exposed through APIs. The engineer will collaborate closely with developers and business SMEs to build traceable test coverage, detect defects early, validate nonfunctional requirements, and provide objective release-readiness evidence.

2 | Required Skills and Experience

• 5–7 years of software testing or quality-engineering experience, including substantial automation experience on cloud, data, API, integration, or distributed-system programs.
• Hands-on experience testing AWS-based solutions using services such as S3, Lambda, SQS, EventBridge, Aurora PostgreSQL, API Gateway, CloudWatch, IAM, and KMS.
• Strong skills in SQL and data validation, including source-to-target reconciliation, transformation-rule testing, referential integrity, duplicates, nulls, control totals, historical or effective-dated data, and exception validation.
• Experience building automated test frameworks using Python, Java, or JavaScript and tools such as pytest, JUnit, REST Assured, Postman/Newman, Karate, or equivalent.
• Experience with REST API testing covering contracts, schemas, authentication and authorization, pagination, versioning, throttling, negative scenarios, error responses, and performance.
• Practical experience testing asynchronous and event-driven patterns, including message sequencing, duplicate delivery, idempotency, retry, dead-letter queues, replay, partial failure, and eventual consistency.
• Experience with performance and reliability tools such as JMeter, Gatling, k6, or equivalent, plus observability through CloudWatch logs, metrics, dashboards, and alerts.
• Working knowledge of CI/CD quality gates, Git workflows, defect management, test-data management, environment readiness, and traceability from requirements to test evidence.
• Strong analytical and communication skills, with the ability to isolate defects across application, data, infrastructure, and integration layers and communicate business impact clearly.
• Insurance policy-domain knowledge, testing of policy administration or ODS solutions, and familiarity with PII or regulated-data controls are preferred; ISTQB or an AWS certification is an advantage.

3 | Duties

• Translate business, data, API, security, and nonfunctional requirements into a risk-based test strategy, detailed scenarios, automation scope, and entry or exit criteria.
• Develop and execute automated tests across S3 landing, Lambda validation, SQS buffering, transformation processing, Aurora persistence, and API consumption.
• Validate source-to-target mappings and canonical policy rules through record-level comparison, aggregate reconciliation, control totals, exception reporting, and negative-data scenarios.
• Test asynchronous behavior including duplicate messages, out-of-order events, poison messages, retries, dead-letter queues, replay, timeout, partial failure, and recovery without data loss or corruption.
• Automate API functional, contract, authorization, error-handling, throttling, versioning, and regression tests and integrate them into CI/CD pipelines.
• Execute performance, load, volume, endurance, concurrency, and resilience testing against agreed service levels; identify bottlenecks across Lambda, queues, Aurora, and APIs.
• Validate security controls including least-privilege access, encryption, secrets handling, sensitive-data masking, audit events, and unauthorized-access behavior in partnership with security teams.
• Create representative and privacy-compliant test data, manage test-data refreshes, and maintain reusable automated datasets and expected-results libraries.
• Log high-quality defects with evidence, severity, reproducibility, impacted data or services, and likely failure layer; support triage, root-cause isolation, retesting, and closure.
• Track coverage, automation rate, pass or fail trends, defect leakage, reconciliation results, performance findings, and residual risk; provide an evidence-based release recommendation.
• Support production-readiness validation, cutover rehearsals, smoke testing, hypercare, incident reproduction, and continuous improvement of the regression suite.

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.

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees.

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