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:
MumbaiScheduled Weekly Hours:
42.5Worker Type:
RegularPosting Start Date
20-Aug-2026Posting Close Date:
23-Aug-2026Job Family:
FXE-MEISA: Data EngineerPosition Summary:
Grade: T5
Please note that the job will close at 12:00 AM on the Posting Close Date. Please submit your application before the closing date.
What Your Main Responsibilities Are
Accountabilities
• Data Pipeline Engineering
- Design, develop, and maintain scalable, reliable, and high-performance data pipelines to support growing data volumes and complexity.
- Build and manage APIs, data ingestion frameworks, and streaming/batch data processing solutions on Google Cloud Platform (GCP).
• Cloud Data Integration
- Integrate structured and unstructured data from multiple online and offline sources to create a unified view of customer, operational, and business data.
- Perform data acquisition, processing, transformation, analysis, and visualization to enable advanced analytics and personalization initiatives.
- Support migration and integration of legacy databases, on-premises data platforms, and other cloud environments into GCP.
• Data Quality & Governance
- Drive data quality, consistency, and readiness for enterprise analytics.
- Define, implement, and continuously improve data governance frameworks, standards, controls, and best practices.
- Establish data validation, monitoring, lineage, and metadata management processes across data platforms.
• Data Transformation & Engineering
- Design and implement ETL/ELT frameworks to cleanse, enrich, and transform data for analytical and operational consumption.
- Develop optimized data models and storage structures to support reporting, self-service analytics, machine learning, and business intelligence workloads.
• Data Enablement & Analytics
- Ensure enterprise-wide access to trusted, governed, and scalable data assets.
- Enable self-service analytics and support stakeholders with actionable insights through reporting, dashboards, and advanced analytical solutions.
- Partner with business and technology teams to drive data-driven decision making.
Qualifications & Specifications
- Bachelor's or Master's degree in Engineering, Computer Science, Mathematics, Statistics, or a related quantitative field.
- 5–7 years of relevant Data Engineering experience.
- Strong programming skills in Python, PySpark, and SQL.
- Experience working with large-scale data platforms and distributed computing technologies including Spark, Hadoop, Hive, and Big Data ecosystems.
- Strong hands-on experience with Google Cloud Platform (GCP) services, including:
- BigQuery
- Cloud Storage
- Dataflow
- Dataproc
- Pub/Sub
- Cloud Composer (Airflow)
- BigQuery Data Transfer Services
- Cloud Functions / Cloud Run
- Looker / Looker Studio
- Experience building modern data lake and data warehouse solutions on GCP.
- Hands-on experience with data orchestration, workflow management, and pipeline automation tools.
- Experience with DevOps and DataOps practices including:
- Docker
- CI/CD
- Kubernetes
- Terraform
- Git-based deployment frameworks
- Strong experience in SQL development, data modeling, dimensional modeling, and performance optimization.
- Proficiency with enterprise ETL and data integration technologies such as Ab Initio, Informatica, DataStage, or equivalent platforms.
- Experience supporting or leading cloud migration and modernization initiatives, including migration from legacy data warehouses, on-premises environments, and other cloud platforms to GCP.
- Experience with BI and visualization platforms such as Power BI, Looker, Tableau, or equivalent (preferred).
- Google Cloud certifications such as:
- Professional Data Engineer
- Professional Cloud Architect
- Associate Cloud Engineer (Preferred)
- Experience working in Agile delivery environments.
- Strong stakeholder management, communication, and cross-functional collaboration skills.
Preferred Experience
- Cloud migration and modernization projects.
- Data warehouse and analytics platform transformation initiatives.
- Customer data, marketing analytics, pricing analytics, or revenue management domain experience.
- Experience mentoring junior engineers and driving engineering best practices.
Experience Required: 5–7 years of relevant Data Engineering and Cloud Data Platform experience.
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
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