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IBM • São Paulo, São Paulo, Brazil
Role & seniority: Senior Data Test Engineer / Quality Engineer: Data (6+ years in software/product development)
Stack/tools: Informatica IDMC; SQL; Python (Pandas); IDMC APIs; CI/CD; Azure tools (ADF, PySpark); data migrations/ETL/BDO/MDM; Java basics; data streaming and various data stores
Design, plan, and execute comprehensive data quality testing strategies for ETL, Big Data, and data-intensive applications (including migrations, BAO, MDM)
Plan test activities, create test cases, estimate efforts, execute tests (manual and automated), report defects, and drive resolution
Analyze test outcomes for continuous improvement; validate data migration/transformations; maintain automated data validation frameworks; collaborate with cross-functional teams
6+ years in software product development/delivery
Strong SQL and data validation/testing experience
Proficiency with Informatica IDMC (designing mappings, end-to-end IDMC workflows)
Experience developing automated data validation with Python and IDMC tools/APIs
CI/CD integration, data quality rule implementation
Azure cloud experience (ADF, PySpark) and Pandas
Ability to interpret system/architecture diagrams; basic Java knowledge
Bachelor’s degree in CS/IT or equivalent
IDMC-specific coding for mappings (Filters, Routers, Joins, JSON parsing)
Hands-on experience with data pipelines, streaming data, and variou
Introduction
A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you’ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You’ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.
Your Role And Responsibilities
Design Testing Strategies: Design and execute comprehensive data quality testing strategies for ETL, Big Data, and data-intensive applications, including BAO, MDM, and data migrations.
Plan Testing Activities: Plan and execute testing activities, estimate work efforts, create test cases, and identify test environment and test data requirements.
Execute Test Cases: Utilize manual and automation solutions to execute test cases, report test status, and perform defect creation, triage, and resolution.
Analyze Test Outcomes: Analyze test outcomes for continuous improvements using analytical and cognitive techniques and tools.
Optimize Test Scenarios: Develop a deep understanding of business requirements and design optimized test scenarios to ensure data quality and integrity.
Required Technical And Professional Expertise
This position is for talented and experienced Data Test Engineer with a strong background in Informatica Intelligent Data Management Cloud (IDMC). In this role, you will be responsible for ensuring the quality, reliability, volume, and accuracy of data across on-prem and cloud environments. You will validate data migration, transformation, and integration processes using Informatica IDMC, collaborating with cross-functional teams to ensure seamless data ingestion from multiple sources — including streaming technologies, cloud platforms, and various data stores — while maintaining the highest standards of data quality and consistency.
Essential Job Functions: Design, develop, and execute test plans and test cases for data pipelines and workflows built using Informatica IDMC.
Perform data validation and transformation testing to verify completeness, consistency, and accuracy between source and target.
Develop and maintain automated data validation frameworks using Python, SQL, and IDMC’s built-in tools and APIs.
Implement data quality rules and support continuous integration through CI/CD pipelines.
Collaborate with development, operations, and infrastructure teams to identify and resolve data quality issues.
Document test plans, results, and findings in a structured and traceable manner.
Support testing activities related to data migration, profiling, analysis, and transformation.
Manage defect tracking and reporting, ensuring timely resolution and clear communication.
Contribute to process improvements and testing best practices within an Agile environment.
IDMC Coding experience. entails the following: Understanding creating mappings end to end on IDMC using Filters, Routers, Joiners JSon With JSON so parsing JSoN Filters, JSON structures, JSON Strings, Structure Parser. Some Java experience to write a basic code.
Python Code: Reading files Functions to read and process data from various file formats.
Requirements
A bachelor’s degree in computer science or related information technology field from an accredited institution or equivalent work experience
6+ years of software product development and delivery experience. Strong experience of SQL experience. Great experience with IDMC tool or related experience. great experience overseeing the development of data test plans, test scenarios, test cases, execution of test case and documentation of test results
Good experience in some of the Azure Cloud tools: ADF, Pyspark Experience with Python and libraries like Pandas. Ability to interpret and draw System & Architecture diagrams. Familiar with Latest Cloud Technologies.