Job Description

What can you expect as a FedEx team member?

• Career Mobility and Development: When you join FedEx, youxe2x80x99re joining a team with possibilities that literally span the worldxe2x80x94from opportunities for advancement and location transfer, to training and leadership programs.
• Total Compensation and Benefits Package: We want to keep our employees for a long time, so we offer competitive benefits, opportunities for flexible work arrangements, and programs to support well-being.

Equal Opportunities
Our greatest asset at FedEx is our people. We are committed to building a diverse, equitable and inclusive workforce, and offer equal opportunities, fairness and respect to all regardless of who you are. We encourage you to apply even if you feel your experience does not align with all the aspects in the job description as you could be exactly who we need for this or another opportunity.
We do not tolerate discrimination or harassment based on race, color, ethnicity, national origin, religion, sex, age, genetic information, citizenship, disability, marital status, pregnancy, sexual orientation, gender identity, gender expression, veteran status or any other characteristic protected under national, state or local laws. We will reasonably accommodate team members and third parties with physical and mental disabilities.
" Please note that the Job will close at 12am on Posting Close date, so please submit your application prior to the Close Date"
Company: INT FedEx Express Transportation and Supply Chain Services (India) Pvt. Ltd.
City:
Chennai
Scheduled Weekly Hours: 48
Worker Type: Regular
Posting Start Date 3-Jun-2025
Posting Close Date: 29-Jun-2025
Job Family: FXE-MEISA: Software Engineer
Position Summary:
Define, implement, and maintain data quality rules, validations, and profiling across key datasets.
Work with Data Engineers and Analysts to identify critical data elements (CDEs) and set quality thresholds.
Establish data quality SLAs and alerting mechanisms for pipeline failures or data anomalies.
Build or integrate tools for automated data validation, profiling, and anomaly detection
Develop test suites for pipelines, including row count checks, null value thresholds, schema validation, and referential integrity.
Contribute to data observability frameworks and contribute to metadata enrichment and data documentation to increase data transparency.
Education: Bachelor's degree or equivalent in Computer Science, Electrical / Electronics Engineering, MIS or related discipline
Experience: Relevant work experience in data quality testing based on the following number of years:
Associate: Prior experience not required
Standard I: Two (2) years
Standard II: Three (3) years
Senior I: Four (4) years
Senior II: Five (5) years
Knowledge, Skills and Abilities

• Fluency in English
• Accuracy & Attention to Detail
• Analytical Skills
• Problem Solving Skills
• Microsoft Office & PC Skills
• Numerical Skills

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