Sr Data Tester -Hybrid

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Title: Sr Data Tester

Duration 6 to 12 months Possibility of extending further

Location Boston, MA or Springfield, MA (Candidate s choice)

Work Mode Hybrid 3 days onsite/2 days remote per week

Client Mass Mutual

Total Exp 13 yrs

Ideal Candidate - The ideal candidate will be responsible for testing data flows from SAP source systems hence someone with a minimum understanding of SAP functional modules, how to extract the data from SAP system writing SQL queries and validate it, it is not a traditional QA tester profiles we re looking. We re looking for a Data Testers .

This role combines technical data testing skills with functional knowledge of SAP modules

• Skill Matrix: SQL writing queries: Data testing experience: Understanding of SAP data structures, tables, and functional modules (e.g., FI/CO, MM, SD, HR, etc.) - Experience with ETL:
  
  

Job Description

Role:

Senior Data Tester

Employment Type: Contract

Contract Duration 6 months high possibility of extending further

Work location: Remote/Onsite (mention no. of Onsite days)

Hybrid - Onsite 3 days a week @ client location Boston, MA or Springfield, MA

About The Role

We are looking for a detail-oriented Data Tester with hands-on experience in data validation and a strong understanding of SAP data and business processes.

The ideal candidate will be responsible for testing data flows from SAP source systems to downstream data warehouses, analytics platforms, and reporting tools.

This role combines technical data testing skills with functional knowledge of SAP modules to ensure accuracy, completeness, and reliability of enterprise data.

Job Responsibilities

• Design, develop, and execute test cases for data extraction, transformation, and loading (ETL) from SAP systems (e.g., SAP ECC, S/4HANA, BW) to target data environments.
• Validate data accuracy and integrity across SAP source tables and downstream systems (data lakes, DWH, BI tools).
• Verify data mappings between SAP modules (such as FI, CO, MM, SD, or HR) and target models.
• Perform data reconciliation and ensure that business rules and KPIs derived from SAP data are correctly implemented.
• Collaborate with data engineers, SAP functional consultants, and business analysts to resolve data issues.
• Develop and maintain automated data validation scripts using SQL and Python.
• Document test results, defects, and data quality metrics; communicate findings with technical and functional teams.
• Support UAT (User Acceptance Testing) and provide guidance on data validation best practices.
  
  

Required Experience

• 13 years of experience of which 6 years of experience in data testing, ETL testing, or data quality assurance.
• Strong knowledge of SAP data structures, tables, and functional modules (e.g., FI/CO, MM, SD, HR, etc.).
• Proficiency in SQL for validating and reconciling data across SAP and non-SAP systems.
• Experience with ETL tools (Informatica, Talend, SSIS, DataStage, or dbt).
• Experience writing Python scripts for automated data validation.
• Understanding of data warehouses, data lakes, and data modeling concepts.
• Excellent analytical skills, attention to detail, and ability to interpret SAP business data.
  
  

Preferred Skills

• Experience working with SAP extractors, IDOCs, or BW data flows.
• Familiarity with Snowflake, BigQuery, AWS Redshift, or other cloud data platforms.
• Exposure to data testing frameworks like Great Expectations or PyTest.
• Understanding of BI tools such as Power BI, Tableau, or SAP Analytics Cloud.
• Knowledge of CI/CD automation for data quality testing.
• Experience in Agile/Scrum development environments.
  
  

Required Education

Bachelor s degree in information technology, Computer Science, or related field