Job Post: Data Engineer – Senior Role at FedEx
Intro
Are you an experienced data engineer looking for a challenging role in a globally renowned company? FedEx is hiring for a Senior Data Engineer position in Gurgaon, Haryana, with opportunities available in Mumbai, Bangalore, Hyderabad, and Pune. Join our team to architect, maintain, and optimize cutting-edge data infrastructures that empower our data scientists to deliver actionable insights.
Overview
• Position: Data Engineer – Senior
• Location: Gurgaon, Mumbai, Bangalore, Hyderabad, Pune
• Employment Type: Full Time
• Grade: T5
• Salary: Competitive and aligned with market standards
• Deadline: Ensure to apply before the closing date at 12 AM
Qualifications
• Bachelor’s or Master’s degree in Engineering, Computer Science, Mathematics, or Statistics
• Strong expertise in Python, PySpark, and SAS
• Experience with big data technologies like Hadoop, Hive, Spark optimization, and distributed systems
• Proficiency in cloud platforms like Azure Data Factory, ADLS Storage, and Databricks
• Hands-on experience with SQL and data modeling
• Knowledge of DevOps tools (Docker, CI/CD, Kubernetes)
Skills Required
• Data integration and transformation expertise
• Advanced data pipeline development skills
• Strong understanding of data governance and quality management
• Agile project management experience
• Certifications in cloud and data engineering (preferred)
Roles and Responsibilities
• Develop scalable data pipelines and enable seamless data integration
• Pre-process, analyze, and transform large datasets for querying and analysis
• Ensure data quality and governance, driving enterprise-wide best practices
• Work on cloud migration and implement workflows on platforms like Azure and Databricks
Study Resources for Preparation
• Big Data Technologies: Hadoop and Spark online courses (Coursera, Udemy)
• Python for Data Engineering: “Data Engineering with Python” by Paul Crickard
• SQL: “SQL for Data Analysis” on DataCamp
• Cloud Computing: Microsoft Azure Fundamentals and Databricks Academy courses
• DevOps: Learn tools like Docker and Kubernetes through Pluralsight
Technical FAQs
1. What programming languages are required for this role?
Python, PySpark, and SAS are essential.
2. Which cloud platforms should I be familiar with?
Azure services like Data Factory and ADLS, along with Databricks and Delta Lake.
3. What is expected in terms of data modeling?
Experience in designing robust SQL databases and optimizing data storage for analysis.
4. What tools are recommended for data pipelines?
Tools like Hadoop, Hive, and Spark optimization for building scalable pipelines.
5. Do I need BI tool experience?
Knowledge of Power BI is preferred but not mandatory.
6. What DevOps tools will I use in this role?
Docker, CI/CD, Kubernetes, and Terraform are the primary DevOps tools required.
7. How critical is cloud migration experience?
Cloud migration experience is beneficial but not a strict requirement.
8. What level of SQL expertise is required?
Advanced SQL skills for data querying and data modeling are necessary.
9. What role does Agile play in the job?
Agile methodologies are critical for project management and task execution.
10. Are certifications mandatory?
Certifications in cloud platforms or data engineering are preferred but not required.
Non-Technical FAQs
1. Is this role open for remote work?
No, this is an on-site position.
2. What is the work environment like at FedEx?
Collaborative, inclusive, and growth-oriented.
3. Is prior experience at a similar role mandatory?
Yes, substantial experience in data engineering is required.
4. What is the typical career path for this position?
Senior roles in data architecture or leadership positions in data engineering teams.
5. Does FedEx support skill development?
Yes, FedEx encourages continuous learning and certifications.
6. How diverse is the team at FedEx?
FedEx is committed to diversity, equity, and inclusion.
7. What does the interview process look like?
It typically includes technical assessments, case studies, and behavioral interviews.
8. Are relocation benefits provided?
This is location-dependent and can be discussed during onboarding.
9. What is the company culture like?
FedEx fosters innovation, teamwork, and customer-first values.
10. How does FedEx handle employee wellness?
FedEx prioritizes employee well-being with comprehensive wellness programs.
Most Commonly Asked Interview Questions
Technical Questions
1. Explain the ETL process and how you’ve implemented it.
2. How do you optimize Spark jobs?
3. Describe your experience with Azure Data Factory.
4. What challenges have you faced in cloud migration?
5. Walk us through a complex data pipeline you built.
Non-Technical Questions
1. How do you handle tight deadlines in an Agile environment?
2. Describe a situation where you had to debug a critical issue.
3. How do you prioritize multiple projects?
4. What motivates you to work as a data engineer?
5. Why do you want to work at FedEx?
Interview Preparation Tips
• Review Python, SQL, and Spark-related projects.
• Practice debugging and optimization scenarios.
• Study Azure architecture and services.
• Learn Agile methodologies and their applications in data projects.
Ready to Elevate Your Career?
This is your chance to be part of FedEx, a globally recognized leader in innovation and logistics. Apply now for the Data Engineer – Senior Role in Gurgaon or other available locations. Don’t miss the opportunity to work on cutting-edge data engineering projects with a world-class team!