Data Engineer-2

What can you expect as a FedEx team member?

• Career Mobility and Development: When you join FedEx, you’re joining a team with possibilities that literally span the world—from 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:

Mumbai

Scheduled Weekly Hours:

48

Worker Type:

Regular

Posting Start Date

11-Jun-2025

Posting Close Date:

1-Jul-2025

Job Family:

FXE-MEISA: Data Engineer

Position Summary:

Please note that the Job will close at 12am on Posting Close date, so please submit your application prior to the Close Date

Grade T1

1. Support the development and maintenance of business intelligence and analytics systems to support data-driven decision-making.
2. Implement of business intelligence and analytics systems, ensuring alignment with business requirements.
3. Design and optimize data warehouse architecture to support efficient storage and retrieval of large datasets.
4. Enable self-service data exploration capabilities for users to analyze and visualize data independently.
5. Develop reporting and analysis applications to generate insights from data for business stakeholders.
6. Design and implement data models to organize and structure data for analytical purposes.
7. Implement data security and federation strategies to ensure the confidentiality and integrity of sensitive information.
8. Optimize business intelligence production processes and adopt best practices to enhance efficiency and reliability.
9. Assist in training and support to users on business intelligence tools and applications.
10. Collaborate and maintain relationships with vendors and oversee project management activities to ensure timely and successful implementation of business intelligence solutions.

Education: Bachelor's degree or equivalent in Computer Science, MIS, Mathematics, Statistics, or similar discipline. Master's degree or PhD preferred.

Relevant work experience in data engineering based on the following number of years:
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
• Analytical Skills
• Accuracy & Attention to Detail
• Numerical Skills
• Planning & Organizing Skills
• Presentation Skills
• Data Modeling and Database Design
• ETL (Extract, Transform, Load) Skills
• Programming Skills