Data Engineer - GCP

FedEx; Mumbai; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

FedEx in Mumbai is seeking a Senior Data Engineer focused on Google Cloud Platform to lead data transformation and migration from on‑prem to cloud. You will design scalable data pipelines using BigQuery, Dataflow, Cloud Storage, Pub/Sub and Cloud Composer to empower analytics for the revenue analytics team.

The role requires hands-on GCP expertise, data migration experience, and strong collaboration with stakeholders to ensure secure, efficient cloud operations and data quality.

Qualifications

• Bachelor's or master's degree in computer science, engineering or related field.
• 5-6 years of data engineering experience with a strong cloud focus.
• Hands-on design and build experience on Google Cloud Platform (GCP).
• Experience migrating on-prem data to the cloud at scale.
• Proficiency with GCP data services: BigQuery, Dataflow, Cloud Storage, Cloud Composer.
• Strong ETL/ELT, data warehousing, and large-scale data integration knowledge.
• SQL proficiency and Python programming.
• Familiarity with IaC and Terraform; strong communication skills.
• Proactive, analytical, and able to collaborate with stakeholders.

Responsibilities

• Lead cloud transformation migrating data pipelines from on‑prem to GCP.
• Design secure, scalable cloud data solutions using BigQuery, Dataflow, Cloud Storage, Pub/Sub.
• Build and modernize ELT/ETL workflows across enterprise systems.
• Champion modern data engineering practices and adopt new technologies.
• Ensure data quality, lineage, monitoring, and governance within GCP.
• Collaborate with stakeholders to gather requirements and report progress to leadership.
• Optimize pipelines for performance and cost in a large-scale cloud environment.
• Enable advanced analytics for data scientists and BI analysts.
• Mentor junior engineers and promote best practices in cloud data engineering.

Skills

Cloud migration

GCP

Python

SQL

Data pipelines

BigQuery

Dataflow

Terraform

Communication

ETL/ELT

Education

Bachelor's or Master's in CS/Engineering

Tools

Google Cloud Platform (GCP)

BigQuery

Dataflow

Cloud Storage

Cloud Composer

Pub/Sub

Terraform

Job description

Job Title: Senior Data Engineer Google Cloud Platform

Team: Global Revenue Analytics and Solutions Data Engineering

Location: Mumbai

Role Overview :

We are seeking an experienced and forward-thinking Senior Data Engineer to spearhead our data transformation initiatives. In this critical role, you will be at the forefront of migrating our data

infrastructure from on-premises systems to a modern, cloud-native environment on Google Cloud Platform (GCP).

You will be responsible for designing, building, and administering scalable and resilient data solutions that drive our business forward. The ideal candidate is a hands-on technical expert who thrives in a dynamic environment, is ready to adapt to new challenges, and can effectively bridge the gap between technical teams, business stakeholders, and leadership. This position requires deep expertise in GCP, a strong background in data migration, and excellent communication skills.

What your main responsibilities are:

• Lead Cloud Transformation: Drive the migration of data pipelines and workloads from on-premises environments to Google Cloud Platform, ensuring minimal disruption and maximum efficiency.
• Design Cloud-Native Data Solutions: Architect and implement secure, scalable, and resilient data solutions on GCP using key services like BigQuery, Dataflow, Cloud Storage, Cloud Composer, and Pub/Sub.
• Build & Modernize Data Pipelines: Develop, optimize, and support robust ELT/ETL workflows for data ingestion, transformation, and integration across diverse enterprise systems.
• Drive Innovation and Adaptability: Champion the adoption of modern data engineering practices and adapt quickly to new technologies and changing business requirements to continuously improve our data ecosystem.
• Ensure Data Quality & Governance: Implement data validation, lineage tracking, monitoring, and robust security controls within the GCP environment to maintain data integrity and compliance.
• Collaborate and Communicate: Partner directly with business stakeholders to gather requirements, present cloud solutions, and provide clear updates to leadership on migration progress and technical strategy.
• Optimize for Performance and Cost: Tune data pipelines and system configurations for optimal performance and cost-effectiveness in a large-scale cloud environment.
• Enable Advanced Analytics: Build foundational data models and services that empower Data Scientists, BI Analysts, and other consumers to access and leverage data at scale.
• Knowledge Sharing & Mentorship: Mentor junior engineers, promote best practices in cloud data engineering, and foster a culture of continuous learning and collaboration.

Required Skills & Qualifications:

• Bachelors or masters degree in computer science, Engineering, or a related field.
• 5-6 years of experience in data engineering, with a strong focus on cloud platforms.
• Proven hands-on experience designing and building data solutions on Google Cloud Platform (GCP).
• Demonstrated experience with large-scale data migration projects from on-premises systems to the cloud.
• Strong proficiency in GCP data services (e.g., BigQuery, Dataflow, Cloud Storage, Cloud Composer).
• Expertise in modern ETL/ELT design, data warehousing principles, and large-scale data integration.
• Proficiency with SQL and programming languages such as Python.
• Familiarity with Infrastructure as Code (IaC) principles and tools like Terraform.
• Excellent communication skills, with the ability to engage with both technical and non-technical stakeholders.
• A proactive and adaptable mindset, with strong analytical and problem-solving abilities.

Nice to Have:

• Google Cloud Professional Data Engineer Certification.
• Experience in logistics, supply chain, or other large-scale enterprise operations.
• Exposure to hybrid-cloud environments and tools like Ab Initio, Azure Data Factory, or Databricks.
• Familiarity with BI and reporting tools like Power BI or Looker.
• Experience with DevOps, Git, and CI/CD practices for data workflows.