Data Engineer-Senior II at FedEx — FedEx | Tech Job

📋 Job Details at a Glance 📍 Location Bengaluru, Karnataka, India 🏢 Company FedEx 👥 Experience 4-7 years 🎓 Qualification Relevant technical / engineering background 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary Not Disclosed 🏢 Industry Technology 🛠 Key Skills Python SQL Docker Kubernetes Azure Terraform APIs CI/CD Data Engineer-Senior II at FedEx — Full Details & How to Apply FedEx is seeking a Data Engineer-Senior II in Bengaluru, Karnataka, India , to develop scalable data pipelines using technologies like Python and SQL . This role is crucial for managing the increasing complexity and volume of data, making it a pivotal position in the tech landscape. The demand for skilled data engineers is surging as organizations strive to leverage data for strategic decision-making. In this context, the Data Engineer-Senior II role at FedEx is significant, as it directly contributes to enhancing customer insights through data integration. This focus on data-driven strategies is essential for companies looking to stay competitive in the technology sector. What sets FedEx apart as an employer is its commitment to innovation and technology. Known for its robust logistics solutions, FedEx invests heavily in technology to streamline operations and improve customer experiences. This role offers a unique chance to be part of a company that values technological advancement and employee growth. We encourage candidates with a relevant technical / engineering background and 4-7 years experience to apply. Eligible batches include 2023, 2024, 2025, 2026 graduates . The salary for this position is Not Disclosed , but the potential for career advancement in a leading tech environment is significant. In this role, you will gain hands-on experience with essential technologies such as Docker , Kubernetes , Azure , Terraform , and APIs . This exposure not only enhances your technical skill set but also opens doors for future opportunities in data engineering and related fields, paving the way for career progression. 📊 Role Difficulty: Medium | Competition Level: Medium | Fresher Friendly: No NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting. Apply online before the opportunity closes. Job Role & Responsibilities The core mission of the Data Engineer-Senior II at FedEx is to develop robust data solutions that enhance data accessibility and drive actionable insights for business stakeholders. Develop and maintain scalable data pipelines using Python and SQL to efficiently manage increasing data volumes. Implement data integration processes that connect offline and online data sources, leveraging APIs for improved customer insights. Collaborate with business stakeholders to understand data requirements, ensuring effective data management through CI/CD practices. Manage data quality by cleansing and validating large datasets, utilizing SQL to ensure accuracy and reliability. Own the maintenance and support of existing data pipelines and API integrations, ensuring seamless data flow. Document processes and improvements in data handling, focusing on operational efficiency through Terraform for infrastructure management. Troubleshoot data-related issues and provide solutions to enhance data accessibility for stakeholders using Docker for containerization. This role fosters an ownership culture where your contributions directly impact data-driven decision-making and operational excellence at FedEx . Required Skills & Technical Competencies The ideal candidate for the Data Engineer-Senior II role must possess a strong technical skill set to effectively manage and manipulate data. Technical Skills Python — advanced — essential for developing data pipelines and performing data manipulation tasks. SQL — advanced — used for querying and managing data within databases, crucial for data integration. Docker — intermediate — facilitates containerization of applications, enhancing deployment and scalability. Kubernetes — intermediate — works with Azure to manage containerized applications in cloud environments. Azure — intermediate — utilized for deploying and managing applications in a cloud infrastructure. Terraform — intermediate — used for infrastructure as code to manage and provision data resources. APIs — intermediate — essential for integrating various data sources and enhancing data accessibility. CI/CD — intermediate — implemented to streamline deployment processes and ensure continuous integration of data solutions. When showcasing these technical skills in your resume or interview, emphasize specific projects or experiences where you applied these technologies effectively. Eligibility Criteria This role is designed for candidates with a solid technical or engineering background, ready to contribute to data engineering at FedEx . Must possess a relevant technical or engineering degree. Eligible batches include 2023 , 2024 , 2025 , and 2026 . Experience requirement is between 4-7 years . Freshers or candidates with less experience are not considered for this position. Portfolio showcasing relevant projects is highly recommended. Documentation & Portfolio Requirements Submit your resume in a clear format, including your educational background, relevant experience, and specific projects that demonstrate your technical skills. Pro tip: Highlight your experience with Python and SQL in your application, as these are critical for this role. Salary for Data Engineer-Senior II at FedEx 💰 Compensation Not Disclosed The advertised compensation for the Data Engineer-Senior II role at FedEx is Not Disclosed . The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage. Recommended Courses & Preparation Tips for Data Engineer-Senior II Upskilling with the right resources significantly enhances your chances of selection for this specific role by aligning your skills with the job requirements. Recommended Courses & Resources Python — Essential for data manipulation and analysis in engineering tasks. SQL — Crucial for database management and querying data efficiently. Docker — Important for containerization and deployment of applications. Kubernetes — Vital for orchestrating containerized applications in production. KodNest — A great resource for hands-on coding practice and projects. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Applying without demonstrating experience with Python or SQL — ensure to include specific projects or tasks where these skills were utilized. ❌ Using a generic resume — tailor it to the specific responsibilities and skills listed in the job description. ❌ Listing technologies like Docker or Kubernetes without context — provide examples of where and how you used them. ❌ Ignoring the experience requirement of 4-7 years — this may disqualify your application. ❌ Adding unrelated technologies or unsupported claims — this can backfire during interviews. ❌ Not verifying the official Apply URL — ensure accuracy to avoid errors in your application. Before You Apply — Checklist ✅ Confirm the job title, company, location, work mode, and experience requirement. ✅ Check that the candidate meets the supplied qualification criteria. ✅ Verify eligibility against the supplied eligible batches and experience requirement. ✅ Add relevant supplied JD keywords naturally to the resume. ✅ Highlight projects or experience related to the supplied technologies and responsibilities. ✅ Remove unsupported technologies, achievements, or experience claims. ✅ Open and verify the supplied Apply URL before submitting the application. ✅ Save the job details, application date, and role-specific resume version for tracking. Resume Tailoring & ATS Keywords for Data Engineer-Senior II Optimizing your resume for ATS is crucial for ensuring your application gets noticed for this role. ATS Keywords to Include Python SQL Docker Kubernetes Azure Terraform APIs CI/CD Spark data engineering DevOps data quality management Resume Tips for This Role Highlight your experience with Python and SQL prominently on your resume, as these are critical for the role. Emphasize your familiarity with Docker , Kubernetes , and Azure , as these tools are essential for the responsibilities outlined. Consider showcasing a project where you developed data pipelines or worked on data integration tasks. Use exact keywords from the job description naturally in your resume to align with ATS requirements. Avoid including unsupported claims or technologies that you cannot substantiate with experience. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro Tip: Do not include unrelated technologies or unsupported claims in your resume for this role. How to Apply for Data Engineer-Senior II at FedEx Apply Now — FedEx Open the supplied official Apply URL and confirm the job title and company. Prepare a resume aligned with the supplied skills, responsibilities, qualification, and experience requirement. Complete the official application form accurately and avoid unsupported claims. Submit the application and save the confirmation or application reference if the portal provides one. Record the application date and monitor the official company portal or registered email for updates. Applications reviewed on rolling basis — early submission recommended. Apply Now — FedEx NexisGrow.com does not charge any fees for job applications. FedEx FedEx , founded in 1971 , operates in over 220 countries and territories worldwide. With its headquarters in Memphis, Tennessee , the company employs more than 600,000 individuals globally. Its extensive logistics network includes over 680 aircraft and 180,000 vehicles , making it a leader in the transportation and logistics industry. The core offerings of FedEx include FedEx Express , FedEx Ground , and FedEx Freight , which provide a range of shipping solutions. Additionally, the company has invested in FedEx Logistics and FedEx Office , enhancing its service portfolio. These platforms utilize advanced technology to streamline operations and improve customer experience. FedEx fosters a culture of diversity and inclusion, earning recognition as one of the World's Most Admired Companies by Fortune in 2022. The company actively promotes employee development through programs like FedEx Cares , which encourages community service and volunteerism among its workforce. Such initiatives contribute to a supportive workplace environment. Recently, FedEx announced a significant investment in electric delivery vehicles , aiming to reduce its carbon footprint by 50% by 2030 . This initiative reflects the company's commitment to sustainability and innovation in logistics. Additionally, FedEx has expanded its e-commerce solutions to meet the growing demand for online shopping. For freshers in Technology, FedEx offers a robust career launchpad, providing exposure to cutting-edge technologies such as cloud computing and data analytics . The collaborative environment allows new employees to work alongside experienced professionals, gaining practical skills in areas like machine learning and API development , essential for career advancement. Company Details Industry Technology Location Bengaluru, Karnataka, India Connect With Us Careers Apply Now Website 🔗 fedex.wd1.myworkdayjobs.com Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for Data Engineer-Senior II at FedEx? Eligibility Tap to expand + Answer Candidates with Relevant technical / engineering background and 4-7 years experience are eligible. Eligible batches: 2023, 2024, 2025, 2026. ? What skills are most important for this role? Skills Tap to expand + Answer Key skills: Python, SQL, Docker, Kubernetes, Azure. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: Not Disclosed. Final offer depends on skills, experience, and interview performance. ? What is the interview process at FedEx? Interview Tap to expand + Answer Typically: Resume shortlisting → Online test → Technical interview(s) → HR round. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer Work mode varies by team. Confirm with HR during recruitment. ? What is the career growth path from this role? Growth Tap to expand + Answer Structured appraisals every 6–12 months. Senior roles accessible within 12–18 months based on performance. ? How do I apply? Application Tap to expand + Answer Apply via the official link in How to Apply section. Highlight: Python, SQL, Docker, Kubernetes, Azure. ? Is there a probation period? Probation Tap to expand + Answer Standard 3–6 months probation. Confirmation follows successful completion. ? How to prepare for the Data Engineer-Senior II interview? Preparation Tap to expand + Answer (1) Core concepts of Python, SQL, Docker, Kubernetes, Azure, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) FedEx research, (5) Clear communication. ? What is the work culture like at FedEx? Culture Tap to expand + Answer Research on LinkedIn and Glassdoor for authentic employee reviews. NexisGrow.com features only verified employers. 🔗 Explore More on NexisGrow More jobs in Bengaluru Browse all Tech jobs Latest Fresher jobs More jobs at FedEx Work From Home jobs Ready to Apply? Don't Miss This Opportunity! Apply only via the official link. NexisGrow.com charges zero application fees. 👉 Apply Now — Official Link NexisGrow.com does not charge any application or registration fees. 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