Job Description

TJX Companies
At TJX Companies, every day brings new opportunities for growth, exploration, and achievement. You'll be part of our vibrant team that embraces diversity, fosters collaboration, and prioritizes your development. Whether you're working in our four global Home Offices, Distribution Centers or Retail Stores--TJ Maxx, Marshalls, Homegoods, Homesense, Sierra, Winners, and TK Maxx, you'll find abundant opportunities to learn, thrive, and make an impact. Come join our TJX family--a Fortune 100 company and the world's leading off-price retailer.

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What you will discover

Inclusive culture and career growth opportunities Global IT Organization which collaborates across U.S., Canada, Europe and Australia Challenging, collaborative, and team-based environment

What you will do

Enterprise Data & Analytics thrives on strong relationships with our business partners and working diligently to address their needs which support TJX growth and operational stability. On this tightly knit and fast-paced solution delivery team you will be constantly challenged to stretch and think outside the box.


You will have a real opportunity to be a part of TJX's transformation to a data driven culture, with the autonomy to work with the business to unlock game changing insights that drive business value. We have modernized our technology stack to focus on the cloud and top tier tools. We are looking for someone who embraces the use of technology to build, manage, and govern data.


As a Lead Test Data Engineer at TJX, you will work with a team that partners with the C360 product management team and delivers products for one or more customer analytics product teams. We seek passionate testers with expertise Leading team, designing, developing, and maintaining data quality solutions. The ideal candidate should have strong expertise in ETL framework testing (preferably Talend or DataStage), BI report testing (preferably Power BI, Cognos), cloud technologies (preferably Azure, Databricks), SQL/PLSQL coding, and Unix/Python scripting.

Key Responsibilities

Lead and mentor a team of test engineers, assisting them with technical challenges and guiding them on best testing practices. Act as a Testing SME and assist cross-functional teams in the implementation of data testing frameworks. Oversee test strategy, roadmaps, and execution plans to ensure successful project deliveries. Drive continuous improvements in test processes, frameworks, and team efficiency. Define and implement a comprehensive test automation strategy for ETL, BI, and data integration solutions. Design and develop automated data quality tests to ensure data integrity across multiple sources, including file-based, API, streaming, and cloud-to-cloud data sharing. Integrate automated data quality tests into CI/CD pipelines to enable continuous validation. Define data quality metrics, validation frameworks, and monitoring strategies. Set up data quality monitoring dashboards and alerts to proactively identify and resolve data inconsistencies. Collaborate with stakeholders to improve data quality processes, ensuring compliance with industry standards. Oversee the design and execution of end-to-end testing, including functional, non-functional, system, UAT, and regression testing. Perform data validation using advanced SQL, stored procedures, and database design principles. Utilize Unix/Python scripting for data validation, and process automation. Contribute to developing ETL solutions using tools like Talend or DataStage OR building stored procedures, scheduling workflows, and integrating data pipelines. Additionally, develop BI reports using tools like Power BI or Cognos. Implement best practices in data governance, compliance, and auditing to ensure data reliability. Work closely with Product Owners, Product Managers, Data Engineers, and Scrum Teams to review backlog items and define test requirements. Identify and recommend improvements to data quality processes, automation tools, and testing frameworks. Define and enforce data quality best practices across the organization. Troubleshoot production issues, collaborating with development teams for timely resolution.

Key Skills (Must Have's):

4-year college degree or equivalent in Computer Science, Mathematics, Statistics, or related field. 7+ years in data quality assurance, ETL testing, DB testing or a related field. 5+ year of experience in leading test teams, mentoring engineers, and driving test strategies. 5+ year of experience in data testing using ETL tool experience like Talend, DataStage, or equivalent. 5+ year of experience is automated & Data Quality testing using tools like TOSCA, ICEDQ or equivalent frameworks. 5+ year Advanced SQL/PL SQL experience (Snowflake a plus). 4+ year Experience in Agile, Scrum Frameworks. 4+ years of experience with writing Test Plan, test strategies, test cases and test scripts. 4+ Experience with JIRA, Zephyr, Confluence, or similar tools. 2+ year of experience with Unix shell scripting or Python. 2+ year of experience in data visualization testing (PowerBI, Cognos preferred). 1+ year of experience in building end to end ETL/BI pipeline OR building stored procedures, scheduling workflows, and integrating data pipelines and develop BI reports using tools like Power BI or Cognos. Strong knowledge of System Testing, UAT, Integration, and Regression Testing. Should Understand requirements, data models, data mapping documents and translate them into test cases and validation strategies.

Non-Technical Skills:

Strong expertise in Agile methodologies, SDLC, and documentation best practices. Excellent problem-solving skills, attention to detail, and ability to analyze complex data and business requirements. Effective communicator, organized, and a collaborative team player. Ability to work with cross-functional teams, adapt to evolving business needs, and effectively manage shifting priorities.

Key Skills (Nice to Have's):

Prior experience in Customer Analytics, Retail, or E-commerce domains. Familiarity with data governance policies and data compliance frameworks (GDPR, CCPA, etc.). Exposure to API Platforms like Apigee, Dell Boomi, Postman, and API-driven testing frameworks. Understanding of DataOps & TestOps concepts for continuous data quality testing and automation. Experience validating unstructured data formats, including XML, JSON, Parquet. Knowledge of cloud data platforms like Azure, Databricks for data processing and analytics.

In addition to our open door policy and supportive work environment, we also strive to provide a competitive salary and benefits package. TJX considers all applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, gender identity and expression, marital or military status, or based on any individual's status in any group or class protected by applicable federal, state, or local law. TJX also provides reasonable accommodations to qualified individuals with disabilities in accordance with the Americans with Disabilities Act and applicable state and local law.

Address:

Salarpuria Sattva Knowledge City, Inorbit Road

Location:

APAC Home Office Hyderabad IN