Data Engineer-Senior II

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:

Bengaluru

Scheduled Weekly Hours:

48

Worker Type:

Regular

Posting Start Date

15-Jul-2025

Posting Close Date:

15-Jul-2025

Job Family:

FXE-MEISA: Data Engineer

Position Summary:

Grade - T5

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

What your main responsibilities are:

Accountabilities:

• Data Pipeline - Develop and maintain scalable data pipelines and builds out new API integrations to 

support continuing increases in data volume and complexity 

• Data Integration - Connect offline and online data to continuously improve overall understanding of 

customer behavior and journeys for personalization. Data pre-processing including collecting, parsing, 

managing, analyzing and visualizing large sets of data 

• Data Quality Management - Cleanse the data and improve data quality and readiness for analysis. 

Drive standards, define and implement/improve data governance strategies and enforce best practices 

to scale data analysis across platforms

• Data Transformation - Processes data by cleansing data and transforming them to proper storage 

structure for the purpose of querying and analysis using ETL and ELT process 

• Data Enablement - Ensure data is accessible and useable to wider enterprise to enable a deeper and 

more timely understanding of operation.

Qualifications & Specifications:

• Masters /Bachelor’s degree in Engineering /Computer Science/ Math/ Statistics or equivalent.

• Strong programming skills in Python/Pyspark/SAS.

• Proven experience with large data sets and related technologies – Hadoop, Hive, Distributed 

computing systems, Spark optimization.

• Experience on cloud platforms (preferably Azure) and it's services Azure Data Factory (ADF), ADLS 

Storage, Azure DevOps. Hands-on experience on Databricks, Delta Lake, Workflows.

• Should have knowledge of DevOps process and tools like Docker, CI/CD, Kubernetes, Terraform, 

Octopus.

• Hands-on experience with SQL and data modeling to support the organization's data storage and 

analysis needs.

• Experience on any BI tool like Power BI (Good to have).

• Cloud migration experience (Good to have)

• Cloud and Data Engineering certification (Good to have)

• Working in an Agile environment

4-6 years of relevant work experience is required.

Experience with stakeholder management is an added advantage.

What we are looking for

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

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