CHENNAI · FULLTIME
Software Engineer
Ford Motor india pvt limited
Chennai · onsite · Posted 71d ago
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Undisclosed1–6 yrsfulltimeChennai
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Section · 01
About this role
This role demands a technically deep, detail-oriented engineer who can automate data pipelines, work across complex legacy and modern database systems, and collaborate with diverse engineering and business teams in a fast-paced fintech environment.
Data Masking & Obfuscation:
- Implement, configure, and maintain enterprise data masking solutions using tools such as IBM Optim.
- Perform data discovery and profiling across structured and unstructured data sources to identify and classify sensitive information.
- Design masking rules that preserve data realism and referential integrity across complex relational data models.
- Ensure PII and sensitive financial data are appropriately protected in all non-production environments.
Synthetic Data Generation:
- Design and build synthetic data sets that accurately mimic production data characteristics, edge cases, and complex business scenarios without exposing real customer information.
- Use TDM tools such as Tonic Fabricate and custom Python or JavaScript scripts to generate realistic, referentially intact data.
- Collaborate with business analysts and QA teams to understand data requirements and translate them into technically accurate, repeatable data generation scripts and workflows.
- Create synthetic data for functional, integration, API, and end-to-end testing.
Modern Test Automation
- Develop and maintain automated tests and data-setup workflows using Playwright and JavaScript/TypeScript.
- Integrate test data creation, validation, and cleanup into automated testing frameworks.
- Build reusable utilities and fixtures to establish complex test data states.
Database Management & Data Provisioning:
- Manage and maintain test data across a wide variety of database platforms, including relational and NoSQL systems.
- Write complex SQL queries, stored procedures, and scripts to extract, transform, subset, and load data across multiple environments and schemas.
- Execute environment data refreshes, ensuring test databases are populated with the correct, masked, and complete data sets aligned to each testing phase.
- Maintain referential integrity across complex, multi-system data models spanning legacy platforms (LA) and modern platforms (Alfa, FiServ).
Automation & CI/CD Integration:
- Build automated test data pipelines that provision data on-demand as part of CI/CD workflows (Jenkins, GitLab, GitHub Actions), eliminating manual data setup bottlenecks.
- Write Python scripts to automate data generation, transformation, validation, and delivery into target environments at scale.
- Build self-service data provisioning capabilities that allow QA engineers to request and receive test data instantly, without manual TDM team intervention.
- Implement automated data validation checks to ensure that provisioned data is complete, accurate, and fit-for-purpose before test cycles begin.
API-Based Data Management:
- Use REST and SOAP APIs to create, retrieve, update, and delete test data programmatically.
- Automate API-chaining workflows to establish multi-system data states for end-to-end testing.
- Build and maintain mock APIs and service virtualization stubs for unavailable third-party or downstream services.
- Validate JSON and XML payloads against application contracts and business rules.
- Support API automation using Postman, RestAssured, Python, JavaScript, and Playwright.
Documentation & Process Improvement:
- Maintain up-to-date documentation on data models, masking rules, data dictionaries, pipeline configurations, and known data constraints.
- Continuously identify and drive improvements to TDM processes, tooling, and automation to enhance data delivery speed, quality, and security.
- Develop and maintain runbooks for all repeatable TDM processes to enable team scalability and knowledge sharing.
- 45 years of hands-on experience in Test Data Management, Data Engineering, Test Automation, or a closely related field, preferably in financial services or fintech.
- Strong experience with modern testing technologies, including:
- JavaScript
- Playwright
- API and end-to-end test automation
- Modern automation frameworks and practices
- Experience with enterprise TDM tools such as IBM Optim, Informatica TDM, K2view, Delphix, or Tonic.
- Strong SQL proficiency, including complex joins, subqueries, stored procedures, data validation, and performance tuning.
- Experience working with databases such as Oracle, SQL Server, PostgreSQL, and DB2.
- Hands-on Python experience for data automation, synthetic data generation, transformation, and pipeline orchestration.
- Strong experience with REST and SOAP APIs, JSON/XML payloads, API chaining, and tools such as Postman, RestAssured, Python Requests, or Playwright.
- Good understanding of data masking, obfuscation, synthetic data, and PII protection in non-production environments.
- Experience integrating data and automation pipelines with Jenkins, GitLab CI, or GitHub Actions.
- Understanding of relational data modeling, referential integrity, and complex multi-table relationships.
- Strong analytical and problem-solving skills, with the ability to independently troubleshoot complex data issues.
- Effective communication and collaboration skills across QA, development, infrastructure, product, and business teams.
Preferred Skill:
- Experience with service virtualization and mocking downstream dependencies.
- Familiarity with NoSQL databases and unstructured data.
- Knowledge of current TDM tools, frameworks, and market trends, particularly within fintech.
- Exposure to cloud-based data platforms and containerized applications.
- Mainframe experience, including DB2, JCL, COBOL, or related technologies, is beneficial but not mandatory.
Sourced from naukri
Section · 02
Skills
Data MaskingCobolAutomationapisautomated testingdata platformsdata modelsCI/CD IntegrationData AutomationDatabase ManagementData EngineeringcloudData ManagementData ValidationData ModelingData PipelineApi Automation
Section · Company
About Ford Motor
Ford Motor india pvt limited
Automobile
14k+
employees
1903
123 years old
Chennai, Tamil Nadu
India
₹15L PA avg
Avg at Ford Motor
About
Since 1903, Ford Motor has helped to build a better world for the people and communities that they serve.
Industries
AutomobileManufacturing
Employee ratings
10 reviews
4.2/ 5
Culture
3.6
Career growth
2.9
Work-life
3.7
Employees rate it well for
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