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Introduction

In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.

In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.

Your role and responsibilities

As a Quality Engineer at IBM, your technical skills will directly impact the quality of the software we create, and your recommendations and findings will help us make sure we're delivering the best of the best. Come work in an agile environment where you will help each iteration reach the next level. Whether the testing is manual, automated, or cognitive, you hold a key role in releasing the best deliverables to our clients and IBM alike.

Required education

Associate's Degree/College Diploma

Required technical and professional expertise

We are seeking a talented and detail-oriented Data Test Engineer with a strong background in Informatica Intelligent Data Management Cloud (IDMC).
In this role, you will ensure the quality, reliability, and accuracy of data across both on-premise and cloud environments.
You will be responsible for validating data migration, transformation, and integration processes using Informatica IDMC.
This position requires close collaboration with cross-functional teams to guarantee 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 with Informatica IDMC.

Perform data validation and transformation testing to verify completeness, consistency, and accuracy between source and target systems.

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, test results, and findings in a clear and traceable manner.

Support testing activities related to data migration, profiling, analysis, and transformation.

Manage defect tracking and reporting, ensuring timely resolution and transparent communication.

Contribute to process improvements and testing best practices within an Agile environment.

Work closely with cross-functional teams to support ongoing data governance and compliance initiatives.

Technical Responsibilities

• IDMC Development and Testing:

  • Understand and create end-to-end mappings in IDMC using Filters, Routers, Joiners, and JSON functions.
  • Handle JSON parsing, JSON structures, and JSON strings using the Structure Parser in IDMC.
  • Apply basic Java to write and execute small code snippets when required.

• Python Coding:

  • Develop functions to read and process data from various file formats.
  • Use libraries such as Pandas for data analysis, manipulation, and validation.

• Azure Cloud Tools:

  • Utilize Azure Data Factory (ADF), PySpark, or similar technologies to support data integration and transformation testing.

• Database and SQL Work:

  • Write and optimize SQL queries to validate data between source and target.
  • Ensure data accuracy and completeness within large-scale datasets.

Qualifications

Bachelor’s degree in Computer Science, Information Technology, or a related field, or equivalent practical experience.

Solid understanding of software development and delivery in a data-centric environment.

Proficiency with Informatica IDMC and related tools.

Strong SQL skills for data validation and transformation.

Experience with Python scripting and data libraries (e.g., Pandas).

Familiarity with Azure Cloud technologies (ADF, PySpark, or similar).

Ability to interpret and draw system and architecture diagrams.

Understanding of modern cloud technologies and data governance principles.

Excellent analytical, troubleshooting, and communication skills.

Comfortable working collaboratively within an Agile environment.

Advance English is a must

Preferred technical and professional experience

Strong attention to detail and accuracy.

Ability to manage multiple priorities and deliver high-quality work within deadlines.

Proactive, collaborative, and curious mindset with a passion for data quality.

Commitment to continuous learning and improvement.