Responsible for developing, optimize, and maintaining business intelligence and data warehouse systems, ensuring secure, efficient data storage and retrieval, enabling self-service data exploration, and supporting stakeholders with insightful reporting and analysis.
Experience: 5–8 Years
Location: Hyderabad, India (In‑office)
Design, develop, and maintain scalable batch and near‑real‑time data pipelines on Google Cloud Platform (GCP).
Build and manage ETL/ELT workflows using Cloud Composer (Airflow), Dataflow (Apache Beam), and Cloud Storage.
Develop data transformations using Python, SQL, and Spark‑style processing frameworks.
Create and maintain analytical data models in BigQuery to support reporting and business intelligence.
Optimize BigQuery performance and cost through query tuning, partitioning, and clustering.
Implement data quality checks, validation rules, and monitoring across ingestion and transformation layers.
Support production operations, troubleshooting data issues and participating in root‑cause analysis.
Collaborate with data analysts, data scientists, and Senior II engineers to ensure data readiness and usability.
Work with relational and NoSQL databases; cloud experience transferable from other platforms.
Follow DevOps best practices using Git and CI/CD pipelines for data engineering workloads.
Contribute to technical documentation, standards, and best practices.
Ensure adherence to data governance, security, and compliance requirements.
Participate actively in Agile delivery and sprint execution.
Demonstrate a coaching mindset, supporting junior engineers and upskilling on GCP technologies.
Exposure to AI/ML workflows and working knowledge of GCP Vertex AI for model training, deployment support, or data preparation is a plus
Core Skill Set
Languages: Python, Advanced SQL
GCP: BigQuery, Cloud Composer, Dataflow, Cloud Storage
Streaming (preferred): Pub/Sub
DevOps: Git, CI/CD
BI exposure: GCP Looker Studio
AI ML : GCP Vertex AI
Education: Bachelor's degree or equivalent in Computer Science, MIS, Mathematics, Statistics, or similar discipline. Master's degree or PhD preferred.
Relevant work experience in data engineering based on the following number of years:
Standard I: Two (2) years
Standard II: Three (3) years
Senior I: Four (4) years
Senior II: Five (5) years
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
Preferred Qualifications:
Pay Transparency:
Pay:
Additional Details:
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.