Posted on: 23/07/2025
Job Title : Data Engineer - Senior
Team : GRAS Data Engineering
Who we are :
At FedEx, moving the world doesnt only mean delivering for our customers around the globe. Moving the world is also about creating whats next. We are Team FedEx consists of 500,000+ people strong around the world. The work we all do comes down to one purpose: to provide our customers with outstanding experiences as we connect the world to whats next.
This isnt a place to get just a job, here you get a career for life. Its a place to enjoy constant change, growth, and progress in your career. Our willingness to innovate and transform is what keeps us at the forefront of our industry. With curiosity, inventiveness, and entrepreneurial spirit, we keep finding new and better ways to deliver results for our customers, for our people and for the planet.
Here you will be given the flexibility and the empowerment to reimagine the new, spread your wings and see your impact. By doing so, we are motivated to be better together. And together, we always manage to drive and deliver excellence.
Our Values :
Our culture values empower us to deliver great results. With one FedEx culture, we :
Take care of each other | Commit to do good | Own outstanding | Drive business results | Create whats next
FedEx India COE was setup in 2014 to support global revenue management teams initially. Over the years, as the collaboration with various groups increased, the scope of role in the overall organization started evolving and have started engaging with other functions. From a team of around 30 strong commercial and data science analysts, they have now grown to an adept and diverse team of 350+ members and are still growing, continuing to evolve and learn day by day. FedEx India COE now provides analytics and data science expertise to teams across Global Revenue Management - Pricing, Commercial Insights & Forecasting, Marketing and Decision Science.
FedEx is pivoting to Build the network for whats next by Innovating Digitally and at India COE and are creating critical capabilities as part of the next generation strategy for FedEx grounded in big data and advanced data science excellence driving cutting-edge business insights. The team plays a major role in transforming massive amount of data that can provide enormous value to its customers.
Driven by People-Service-Profit philosophy, FedEx strives towards creating values of caring, results, order, and learning.
FedEx endeavors to provide a safe, inclusive, and rewarding employee environment. One where growth and learning are priorities to help employees succeed. One that strengthens the commitment to connect people and possibilities around the world. One that provides hope, change and new possibilities to people, globally.
Why FedEx India COE?
India COE team offers tremendous opportunities to passionate business and data savvy professionals who are looking for excellent global exposure, challenging assignments, career growth and learning opportunities. Constantly seeking to engage with thought leaders from the industry who are keen to make an impact. What differentiates COE as a team is its consultative and entrepreneurial mindset with a bias to understand problems and innovate solutions.
Curious with business acumen and executive presence, who are ready to take on challenges to learn new skills & knowledge across business, commercial processes & analytical areas. Provide a truly global environment, working with different cultures and all the levels in organization, the team works on high impact projects with direct input from senior management.
Most of the leaders are promoted from within, creating a strong culture of in-grown talent. There is focus on continuous learning and provide excellent tools, systems, and policies to facilitate learning. Create strong foundation for building careers, collaborate and help each other grow.
Role Overview :
We are seeking an experienced and motivated Senior Data Engineer to join our evolving Data Engineering team at FedEx. As part of our global analytics ecosystem, you will help design, build, and optimize scalable data platforms and pipelines that support analytics, insights, and data-driven decision-making across the enterprise.
This role offers a balance between technical contribution and broader business engagement. Youll work closely with cross-functional teams to deliver impactful data solutions, while also developing a strong understanding of FedExs commercial landscape and strategic goals.
What your main responsibilities are :
- Design Scalable Data Solutions : Contribute to the design of secure and scalable data engineering frameworks for analytics and BI.
- Build and Maintain Data Pipelines : Develop and maintain robust pipelines for data ingestion, transformation, and integration across diverse systems.
- Leverage Azure Platform Tools : Utilize services such as Azure Data Factory, Azure Databricks, and Azure Synapse Analytics to implement enterprise-grade data solutions.
- Support BI at Scale : Enable high-performance reporting and dashboarding by optimizing Synapse SQL Dedicated Pools and integrating with BI platforms like Power BI.
- Ensure Data Quality & Governance : Implement validation checks, lineage tracking, and quality monitoring to ensure data integrity and trust.
- Optimize for Scale and Efficiency : Tune data solutions for cost-effectiveness and performance in large-scale environments.
- Collaborate Across Functions : Work alongside Data Scientists, Analysts, Product Managers, and Business Leaders to align data work with business needs and strategy.
- Support Knowledge Sharing : Encourage best practices, continuous learning, and knowledge exchange within the team.
- Grow Commercial Acumen : Develop a strong understanding of FedExs business operations, goals, and customer value drivers.
What we are looking for :
Education & Experience :
- Bachelors or masters degree in computer science, Engineering, or a related field.
- 4- 6 years of experience in data engineering, ETL development, or related roles.
- Proficiency in SQL, Python, and PySpark/Spark SQL.
- Experience with Azure Data Factory, Azure Databricks, and Azure Synapse Analytics.
- Understanding of data warehousing, data lakes, and BI-driven architecture.
- Ability to work with diverse data sources (APIs, flat files, Excel, PDFs, relational databases).
- Familiarity with DevOps, Git, and CI/CD for data workflows.
- Strong analytical, communication, and collaboration skills.
- Interest in learning the business context behind the data and its strategic applications.
Skills & Competencies :
- Azure or Databricks certifications (e.g., DP-203, Databricks Certified Data Engineer).
- Experience in logistics, supply chain, or large enterprise operations.
- Exposure to BI/reporting tools like Power BI and large-scale data platforms.
What you'll bring to the team :
- Collaboration, quality work, commercial acumen, leading on projects with minimum guidance, willingness to learn and grow.
- Analytical Skills, Accuracy & Attention to Detail, Planning & Organizing Skills, Influencing & Persuasion Skills, Presentation Skills
What you can expect to get :
Attractive remuneration package includes :
- Salary as per agreed compensation structure
- Tuition Assistance
- Great Working Environment
- Spread your wings and take ownership of your career with opportunities to advance through internal promotions, job rotations, and cross-functional projects.
- Complimentary 24/7 access to our learning platforms to support you in becoming who you want to be Work life balance programs including hybrid work arrangement.
- WFH (work from home) and office
- Health & wellness, employee assistance, and rewards and recognition programs
- Special employee discounts on shipping, travel, and much more
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Posted By
Posted in
Data Engineering
Functional Area
Data Engineering
Job Code
1517881
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