**Req ID:** 349282 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Offshore data testers with strong knowledge of data program testing experience to join our team in Bangalore, Karnātaka (IN-KA), India (IN). A Data QA Engineer ensures data reliability and accuracy by testing data pipelines, ETL processes, and warehouses, focusing on completeness, consistency, and validity for business use, using tools like SQL and Python to build automated tests and find issues, crucial for trustworthy analytics and decisions. They work across the data lifecycle, defining quality rules, profiling data, and collaborating with data engineers and analysts to maintain high data integrity. **Core Responsibilities** + **Testing & Validation:** Designing and running tests for data ingestion, transformation (ETL/ELT), and storage (data warehouses/lakes). + Data Profiling & Monitoring : Analyzing data structure, identifying anomalies, and setting up continuous monitoring for quality issues. + Automation : Building automated test frameworks using Python, Pytest, and SQL to catch defects early. + **Rule Definition:** Creating and implementing data quality rules and metrics (e.g., completeness, accuracy). + **Collaboration:** Working with data engineers, analysts, and business stakeholders to understand needs and resolve defects. **Key Skills & Tools** + **Technical:** 6-10+ years experience with SQL (complex queries), Python (Pandas, PySpark), Data Warehousing (DWH), Cloud Platforms (AWS, Azure, GCP), BI Tools (Tableau, Power BI). + **Analytical:** Strong problem-solving, attention to detail, understanding data modeling, data lifecycle, and governance. + **Methodologies:** 6-10+ years experience with familiarity with data testing processes, data governance, and CI/CD. Thanks & Regards, **Priyanka M R** (She/her) | Global Resource Management | **M** .+91 7259225518 **Priyanka.MR@nttdata.com** **NTT DATA Information Processing Services Private Limited** Consulting | Industry Solutions | Cloud & Digital Services **Upcoming OOO:** **From:** Gopinath Ramabhadran < Gopinath.Ramabhadran@nttdata.com > **Sent:** Thursday, January 8, 2026 8:23 PM **To:** Mo Beckley < Mo.Beckley@nttdata.com >; Priyanka M R < Priyanka.MR@nttdata.com >; Mandy Selmer < Mandy.Selmer@nttdata.com > **Subject:** Re: DATA QA JD Yes this is for both onsite and offshore. I think we should aim to get 6-10 years of experience for these roles. Regards Gopi Get Outlook for Mac (https://urldefense.com/v3/\_\_https:/aka.ms/GetOutlookForMac\_\_;!!AKgNyAfk550h-spHnEo!atzCw7iKyNtuda-Dy3nP5DXF2EZk3OV1efAvEQ8GoifTJFqBg6DPdjpJulMoTpc7dkE8YiRKl7gDv1TkeX1wfFJVHeIDsTA$) **From:** Mo Beckley < Mo.Beckley@nttdata.com > **Date:** Thursday, January 8, 2026 at 9:12 AM **To:** Gopinath Ramabhadran < Gopinath.Ramabhadran@global.nttdata.com >, Priyanka M R < Priyanka.MR@nttdata.com >, Mandy Selmer < mandy.selmer@nttdata.com > **Subject:** Re: DATA QA JD Hi Gopi, Thank you for sharing! Is this the JD for the US role as well? If so, please note that the minimum number years of experience is required for each skill listed under "Key Skills & Tools" in order for the JD to be OFCCP compliant and be placed with recruiting teams. Thank you, **Mo Beckley** (She/Her/Hers) Fulfillment Strategist | D&A Practice NTT Data Americas, Inc. **Upcoming Time Off: December 31st, January 1st** **From:** Gopinath Ramabhadran < Gopinath.Ramabhadran@nttdata.com > **Sent:** Thursday, January 8, 2026 8:56 AM **To:** Mo Beckley < Mo.Beckley@nttdata.com >; Priyanka M R < Priyanka.MR@nttdata.com >; Mandy Selmer < Mandy.Selmer@nttdata.com > **Subject:** DATA QA JD Hello Mo/Priyanka/Mandy As discussed please find below the JD for Data QA Tester role. A Data QA Engineer ensures data reliability and accuracy by testing data pipelines, ETL processes, and warehouses, focusing on completeness, consistency, and validity for business use, using tools like SQL and Python to build automated tests and find issues, crucial for trustworthy analytics and decisions. They work across the data lifecycle, defining quality rules, profiling data, and collaborating with data engineers and analysts to maintain high data integrity. **Core Responsibilities** + **Testing & Validation:** Designing and running tests for data ingestion, transformation (ETL/ELT), and storage (data warehouses/lakes). + Data Profiling & Monitoring : Analyzing data structure, identifying anomalies, and setting up continuous monitoring for quality issues. + Automation : Building automated test frameworks using Python, Pytest, and SQL to catch defects early. + **Rule Definition:** Creating and implementing data quality rules and metrics (e.g., completeness, accuracy). + **Collaboration:** Working with data engineers, analysts, and business stakeholders to understand needs and resolve defects. **Key Skills & Tools** + **Technical:** SQL (complex queries), Python (Pandas, PySpark), Data Warehousing (DWH), Cloud Platforms (AWS, Azure, GCP), BI Tools (Tableau, Power BI). + **Analytical:** Strong problem-solving, attention to detail, understanding data modeling, data lifecycle, and governance. + **Methodologies:** Familiarity with data testing processes, data governance, and CI/CD. **About NTT DATA** NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. 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