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Jobs via Dice • Boston, Massachusetts, United States
Role & seniority: Senior Data Tester - ETL (contract)
Stack/tools: SAP data (FI/CO, MM, SD, HR, etc.), SQL, ETL tools (Informatica, Talend, SSIS, DataStage, dbt), Python for automation; data warehouses/data lakes; optional: SAP extractors/IDOCs, BW, Snowflake, BigQuery, Redshift, BI tools (Power BI/Tableau), Great Expectations/PyTest
Design, develop, and execute ETL data tests from SAP sources to target environments (data warehouses, BI tools)
Validate data accuracy/integrity, verify SAP-to-target data mappings, perform data reconciliation, and ensure business rules/KPIs are correct
Collaborate with data engineers, SAP functional consultants, and business analysts; automate data validation, document results, and support UAT
13+ years total experience; 6+ years in data testing/ETL/data quality
Strong SAP data knowledge (tables, structures, FI/CO, MM, SD, HR)
SQL proficiency for data validation across SAP/non-SAP
Experience with ETL tools and Python for automation
Understanding of data warehouses/lairs/data modeling; analytical detail orientation
SAP extractors/IDOCs, BW data flows
Cloud data platforms (Snowflake, BigQuery, Redshift)
Data testing frameworks (Great Expectations, PyTest)
BI tools (Power BI, Tableau, SAP Analytics Cloud); CI/CD for data quality
Agile/Scrum experience
Location & work type: Boston, MA or Springfield, MA; Hybrid work mode (3 day
Dice is the leading career destination for tech experts at every stage of their careers. Our client, EVEREST CONSULTING GROUP, INC, is seeking the following. Apply via Dice today!
Duration 6 to 12 months + Possibility of extending further
Location Boston, MA or Springfield, MA (Candidate s preference)
Work Mode Hybrid 3 days onsite/2 days remote per week
Total Exp 13+ yrs
A basic understanding of SAP functional modules (e.g., FI, MM, SD, etc.) Experience in extracting data from SAP systems Strong skills in writing and executing SQL queries to validate data The ability to combine technical data testing with functional SAP knowledge
Understanding of SAP data structures, tables, and functional modules (e.g., FI/CO, MM, SD, HR, etc.) -
Senior Data Tester -ETL local to Boston MA
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