Req ID: RC781939

Data Engineer-Senior II

Company: Federal Express Corporation AMEA
Category: Professional
Employment Type: Full Time
Worker Sub-Type: Regular
Scheduled Weekly Hours: 42.5
Posting End Date:
Remote: No
Location: Mumbai, Mahār 400059, India

Description

Responsible for developing, optimizing, and maintaining business intelligence and data warehouse solutions with expertise in Google Cloud Platform (GCP). Lead the transition of legacy databases, data warehouses, and multi-cloud workloads to modern GCP architectures, ensuring secure, scalable, and efficient data processing. Enable self-service analytics, improve data accessibility, and provide stakeholders with impactful reporting and analytical insights to support strategic business decisions.

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

FedEx was built on a philosophy that puts people first, one we take seriously. We are an equal opportunity/affirmative action employer and we are committed to a diverse, equitable, and inclusive workforce in which we enforce fair treatment, and provide growth opportunities for everyone.

All qualified applicants will receive consideration for employment regardless of age, race, color, national origin, genetics, religion, gender, marital status, pregnancy (including childbirth or a related medical condition), physical or mental disability, or any other characteristic protected by applicable laws, regulations, and ordinances.

Our Company

FedEx is one of the world's largest express transportation companies and has consistently been selected as one of the top 10 World’s Most Admired Companies by "Fortune" magazine. Every day FedEx delivers for its customers with transportation and business solutions, serving more than 220 countries and territories around the globe. We can serve this global network due to our outstanding team of FedEx team members, who are tasked with making every FedEx experience outstanding.

Our Philosophy

The People-Service-Profit philosophy (P-S-P) describes the principles that govern every FedEx decision, policy, or activity. FedEx takes care of our people; they, in turn, deliver the impeccable service demanded by our customers, who reward us with the profitability necessary to secure our future. The essential element in making the People-Service-Profit philosophy such a positive force for the company is where we close the circle, and return these profits back into the business, and invest back in our people. Our success in the industry is attributed to our people. Through our P-S-P philosophy, we have a work environment that encourages team members to be innovative in delivering the highest possible quality of service to our customers. We care for their well-being, and value their contributions to the company.

Our Culture

Our culture is important for many reasons, and we intentionally bring it to life through our behaviors, actions, and activities in every part of the world. The FedEx culture and values have been a cornerstone of our success and growth since we began in the early 1970’s. While other companies can copy our systems, infrastructure, and processes, our culture makes us unique and is often a differentiating factor as we compete and grow in today’s global marketplace.