Data Engineer-Senior II

FedEx; Bengaluru; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

FedEx is seeking a seasoned data engineering professional in Bengaluru to design, optimize and maintain BI and data warehouse systems. You will build scalable pipelines, integrate diverse data sources, and ensure high data quality for enterprise reporting and analytics.

The role requires 4–7 years of hands-on experience with Python, Spark, SQL and cloud-based data platforms. Knowledge of Azure, Databricks, and DevOps tools is highly desirable, with a collaborative, Agile team culture at the core.

Qualifications

• Masters or Bachelor's degree in Engineering / CS / Math / Statistics.
• Strong programming skills in Python/Pyspark/SAS.
• Experience with large data sets and technologies – Hadoop, Hive, Distributed computing, Spark optimization.
• Cloud platforms experience (Azure) with ADF/ADLS, Databricks, Delta Lake.
• DevOps tools: Docker, CI/CD, Kubernetes, Terraform, Octopus.
• SQL and data modeling for storage and analysis.
• Experience with ETL tools: Ab Initio, Informatica, DataStage, or equivalent.
• BI tools like Power BI is a plus.
• Cloud migration experience.
• Agile environment experience.
• 4-7 years of relevant work experience.
• Stakeholder management experience an advantage.

Responsibilities

• Data Pipeline - Develop and maintain scalable data pipelines and builds out new API integrations.
• Data Integration - Connect offline and online data for personalization and improved customer journeys.
• Data Quality Management - Cleanse data and improve data quality; implement data governance practices.
• Data Transformation - Cleansing and transforming data for querying using ETL/ELT.
• Data Enablement - Ensure data is accessible to the wider enterprise for timely insights.

Skills

Python

Pyspark

SAS

English fluency

Data modeling

Analytical thinking

Education

Bachelor's degree in CS/Engineering

Tools

Azure (ADF/ADLS)

Databricks/Delta Lake

Docker

CI/CD

Kubernetes

Terraform/Octopus

Ab Initio/Informatica/DataStage

Power BI

Job description

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.

Grade - T5

Accountabilities

What your main responsibilities are:

• Data Pipeline - Develop and maintain scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity
• Data Integration - Connect offline and online data to continuously improve overall understanding of customer behavior and journeys for personalization. Data pre-processing including collecting, parsing, managing, analyzing and visualizing large sets of data
• Data Quality Management - Cleanse the data and improve data quality and readiness for analysis. Drive standards, define and implement/improve data governance strategies and enforce best practices to scale data analysis across platforms
• Data Transformation - Processes data by cleansing data and transforming them to proper storage structure for the purpose of querying and analysis using ETL and ELT process
• Data Enablement - Ensure data is accessible and useable to wider enterprise to enable a deeper and more timely understanding of operation.

Qualifications & Specifications

• Masters /Bachelor’s degree in Engineering /Computer Science/ Math/ Statistics or equivalent.
• Strong programming skills in Python/Pyspark/SAS.
• Proven experience with large data sets and related technologies – Hadoop, Hive, Distributed computing systems, Spark optimization.
• Experience on cloud platforms (preferably Azure) and it's services Azure Data Factory (ADF), ADLS Storage, Azure DevOps. Hands-on experience on Databricks, Delta Lake, Workflows.
• Should have knowledge of DevOps process and tools like Docker, CI/CD, Kubernetes, Terraform, Octopus.
• Hands-on experience with SQL and data modeling to support the organization's data storage and analysis needs.
• Proficiency in enterprise data pipeline and ETL tools such as Ab Initio, Informatica, DataStage, or equivalent technologies
• Experience on any BI tool like Power BI (Good to have).
• Cloud migration experience (Good to have)
• Cloud and Data Engineering certification (Good to have)
• Working in an Agile environment
• 4-7 years of relevant work experience needed.
• Experience with stakeholder management will be an added advantage.

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.