Business Tester / Quality Analyst - Data Engineering & Testing

Analyst (A1) - GTS - ITTL Business Tester

 Roles & responsibilities 
Perform thorough technical and Functional testing for various applications to ensure accuracy, completeness, and compliance with business requirements.
Demonstrate strong documentation skills to document notes, exceptions, and address comments/review notes from internal and external reviewers.
Identify, document, and track defects using appropriate tools and ensure timely resolution through collaboration with development teams.
Build Azure Databricks notebooks to perform data transformations, create tables, and ensure data quality and consistency. Leverage Unity Catalog for data governance and maintaining a unified data view across the organization
Automate the testing solutions, debug and resolve issues, if any, with limited guidance, when processing large data sets and propose possible solutions. 
Capable of debugging the PySpark and SQL code.

Ensure the quality and reliability of the applications by conducting rigorous testing and validation processes.. 
Adhere to applicable framework, follow all the best practices preparer and checker process effectively to attain targeted quality
Demonstrate accountability and willingness to stretch beyond regular hours when needed
Inculcate and exhibit KPMG values in everyday conduct
Act with integrity and demonstrate ethical behavior all the times

 Roles & responsibilities 
Perform thorough technical and Functional testing for various applications to ensure accuracy, completeness, and compliance with business requirements.
Demonstrate strong documentation skills to document notes, exceptions, and address comments/review notes from internal and external reviewers.
Identify, document, and track defects using appropriate tools and ensure timely resolution through collaboration with development teams.
Build Azure Databricks notebooks to perform data transformations, create tables, and ensure data quality and consistency. Leverage Unity Catalog for data governance and maintaining a unified data view across the organization
Automate the testing solutions, debug and resolve issues, if any, with limited guidance, when processing large data sets and propose possible solutions. 
Capable of debugging the PySpark and SQL code.

Ensure the quality and reliability of the applications by conducting rigorous testing and validation processes.. 
Adhere to applicable framework, follow all the best practices preparer and checker process effectively to attain targeted quality
Demonstrate accountability and willingness to stretch beyond regular hours when needed
Inculcate and exhibit KPMG values in everyday conduct
Act with integrity and demonstrate ethical behavior all the times

Mandatory  technical & functional skills
Experience in software testing/quality analyst, database and visualization concepts
Functional and Technical  testing and good knowledge of software development life cycle 
Experience in data engineering, with a strong focus on Databricks, PySpark, Python Spark SQL,SQL, Power BI and Alteryx
Proven experience in implementing ETL processes and data pipelines
Hands-on experience with Azure Databricks, Azure Data Factory (ADF), Azure Data Lake Storage (ADLS)

 This role is for you if you have  the below
Educational qualifications 
B. Tech/B.E/MCA (Computer Science / Information Technology) 
Work experience
1-3 years of work experience in relevant discipline
Prior experience in finance/accounting/auditing testing domain/ GDC experience of at least a year is preferred .

Experience Level

Mid Level