Data Engineer, ShipTech Analytics at Amazon

📋 Job Details at a Glance 📍 Location Hyderabad, India 🏢 Company Amazon 👥 Experience 1+ years 🎓 Qualification Bachelor's or Master's Degree in Computer Science, Engineering, or Related Field 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary ₹12 – ₹22 LPA 🏢 Industry Technology 🛠 Key Skills Communication Skills Problem Solving Basic Computer Knowledge Data Engineer, ShipTech Analytics at Amazon — Full Details & How to Apply Amazon is seeking a talented Data Engineer for its ShipTech Analytics team in Hyderabad, India . This role offers a unique opportunity to shape data-driven solutions in a leading technology environment. As a Data Engineer , you will play a pivotal role in optimizing shipping analytics, enhancing operational efficiency, and driving strategic decisions that impact the entire logistics landscape. In today's data-centric world, the role of a Data Engineer is more crucial than ever, especially in the realm of shipping analytics. With the rapid growth of e-commerce and the increasing demand for efficient logistics, Data Engineer, ShipTech Analytics jobs are at the forefront of technological innovation. By leveraging data, you will contribute to solutions that not only streamline shipping processes but also enhance customer satisfaction. The industry is evolving, and your expertise could be the key to unlocking new efficiencies and insights. What sets Amazon apart as an employer for this role is its unwavering commitment to innovation and technology. With a culture that fosters creativity and collaboration, Amazon provides an environment where data professionals can thrive. The company is dedicated to investing in its employees, offering opportunities for rapid career advancement and continuous learning. Working at Amazon means being part of a team that is not just focused on the present but is also shaping the future of logistics and technology. This opportunity is ideal for both freshers and candidates with up to 2 years of experience . If you hold a B.Tech, MCA, or M.Tech degree and are part of the 2023, 2024, 2025, or 2026 graduating classes, you are encouraged to apply. Your background in computer science or engineering will be invaluable as you tackle complex data challenges and contribute to innovative solutions in shipping analytics. As a Data Engineer at Amazon , you will gain hands-on experience with cutting-edge technologies and methodologies. You will develop skills in cloud architecture , engage in production-grade Java development , and work within Agile workflows . This role will not only enhance your technical capabilities but also sharpen your problem-solving and communication skills , preparing you for future challenges in the tech landscape. NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting. If you're ready to take the next step in your career, don't miss the chance to apply online for this role at Amazon . Job Role & Responsibilities The role of a Data Engineer at Amazon is pivotal in enhancing the ShipTech Analytics initiatives, ensuring that data-driven decisions are made with precision and efficiency. As a key player in the technology sector, you will design and implement data solutions that drive operational excellence and improve customer satisfaction. Design and implement robust data pipelines to support ShipTech analytics initiatives, ensuring high data quality and availability for stakeholders. Utilize tools like AWS , SQL , and Python to extract, transform, and load ( ETL ) data from various sources into data warehouses, facilitating seamless data access. Collaborate with cross-functional teams , including data scientists and product managers, to understand data requirements and deliver actionable insights that drive business strategies. Analyze data metrics to identify trends and anomalies, providing recommendations to enhance shipping processes and improve customer satisfaction. Take ownership of projects, driving continuous improvement and innovation in data engineering practices within the team. Document data processes and workflows, ensuring clarity and transparency for stakeholders and future reference, which is crucial for operational consistency. Proactively solve complex data-related challenges, employing analytical thinking and innovative solutions to enhance operational efficiency. Monitor and maintain data quality standards, ensuring that data integrity is upheld across all analytics initiatives. This role fosters a culture of ownership, where your contributions will directly impact the efficiency of shipping operations and enhance the overall customer experience at Amazon . Required Skills & Technical Competencies The ideal candidate for the Data Engineer position at Amazon should possess a diverse skill set that combines technical expertise with strong analytical capabilities. These skills are essential for building scalable data solutions that support business objectives. Technical Skills SQL (Proficient) — essential for querying and managing large datasets, enabling effective data manipulation and analysis. Python (Intermediate) — used for data processing and automation tasks, facilitating efficient data pipeline development. AWS (Familiarity) — knowledge of services like S3 and Redshift to leverage cloud infrastructure for data storage and analytics. Data Warehousing Concepts (Intermediate) — understanding of data modeling and ETL processes crucial for building scalable data solutions. Data Visualization Tools (Basic) — familiarity with tools like Tableau or Power BI to present data insights effectively. Version Control (Basic) — experience with Git for code management and collaboration. Soft Skills & Professional Competencies Communication Skills — vital for articulating technical concepts to non-technical stakeholders and collaborating effectively. Problem-Solving — ability to tackle complex data-related challenges with innovative solutions. Analytical Thinking — strong analytical skills to interpret data metrics and derive actionable insights. Time Management — ability to prioritize tasks and manage multiple projects efficiently. Good to Have (Bonus) Machine Learning (Basic) — understanding of basic ML concepts can enhance data analysis capabilities. Data Governance (Familiarity) — knowledge of data privacy and compliance regulations. Containerization (Basic) — familiarity with Docker for deploying applications in a consistent environment. To effectively showcase these skills in your resume or during an interview, highlight specific projects or experiences that demonstrate your proficiency in data engineering and your ability to work collaboratively in a team environment. Eligibility Criteria This role is designed for enthusiastic individuals eager to kickstart their careers in data engineering at a leading tech company like Amazon . Ideal candidates will possess a solid educational background and relevant skills. Candidates must hold a Bachelor's or Master's Degree in Computer Science, Engineering, or a related field . Eligible batches include 2023, 2024, 2025, and 2026 passouts, targeting fresh graduates eager to start their careers. Minimum 7.0 CGPA is preferred to reflect academic excellence and commitment to the field. Both freshers and candidates with up to 2 years of experience are encouraged to apply, allowing for diverse perspectives and skills. Projects or portfolios showcasing relevant data engineering work will strengthen applications and demonstrate practical skills. Prior internship or hands-on project experience is a strong advantage. Documentation & Portfolio Requirements Prepare a well-structured resume highlighting your educational qualifications, relevant projects, and skills. Include a GitHub link or portfolio showcasing your work in data engineering, along with any relevant certifications. Pro Tip: Tailor your resume to emphasize your technical skills and any projects that align with the responsibilities of the Data Engineer role at Amazon to improve your application success rate. Salary & Benefits 💰 Compensation ₹12 – ₹22 LPA The compensation philosophy for the Data Engineer, ShipTech Analytics role at Amazon reflects the competitive nature of the technology industry in India, offering a salary range of ₹12 – ₹22 LPA . This range is designed to attract top talent while ensuring that employees feel valued and rewarded for their contributions. What Your CTC Could Include Health Insurance — comprehensive coverage for employee and family worth ₹5 lakh annually Retirement Benefits — contributions to Provident Fund and Gratuity plans Performance Bonuses — annual performance-based bonuses to reward exceptional work Flexible Work Hours — options for hybrid work to support work-life balance Training Programs — access to various training and certification programs for skill enhancement Additional Perks & Benefits Annual Learning Budget — up to ₹25,000 per year for certifications, courses, and conferences Subsidized Meals — affordable meal options available at the workplace Transportation Allowance — financial support for commuting expenses Stock Options — opportunity to own a part of the company through stock options Employee Discounts — exclusive discounts on various Amazon products and services Career Progression & Salary Growth At Amazon , appraisal cycles occur annually, with typical raise percentages ranging from 10% to 20% based on performance. Promotion timelines are generally structured around 18 to 24 months , allowing for rapid career advancement through internal mobility programs. NexisGrow.com tip: When negotiating your salary, emphasize your unique skills and experiences that align with the Data Engineer role to justify your request for a higher starting salary. Selection Process The hiring philosophy at Amazon emphasizes a rigorous selection process to ensure that only the best candidates are chosen for the Data Engineer, ShipTech Analytics role. This process is designed to assess both technical and cultural fit within the organization. 1 Round 1: Initial Screening — review of applications focusing on qualifications and relevant experience. 2 Round 2: Technical Interview — assessment of data engineering skills, problem-solving abilities, and familiarity with tools. 3 Round 3: Behavioral Interview — evaluation of cultural fit and communication skills within the team environment. 4 Final Stage: Offer Presentation — presentation of the job offer followed by a background check to ensure candidate suitability. What Each Round Tests Round 1 focuses on your qualifications and relevant experience, while Round 2 dives deep into your technical skills, including proficiency in tools like AWS and SQL . Round 3 assesses your problem-solving and communication skills to ensure you align with Amazon's culture. Timeline & Expectations The entire selection process typically takes 4-6 weeks from application submission to final offer. Candidates can expect timely communication from Amazon throughout the process, including updates after each round. Interview Prep Tip: Familiarize yourself with Amazon's Leadership Principles, as they play a crucial role in the interview questions and evaluation. How to Apply for Data Engineer, ShipTech Analytics at Amazon Apply Now — Amazon Step 1: Click the Apply button or visit the official career link at Amazon's Job Portal . Step 2: Fill in your profile and upload your resume, highlighting relevant projects and skills that align with the Data Engineer job description. Step 3: Expect a confirmation email followed by a screening process that evaluates your qualifications and fit for the role. Step 4: Applications are reviewed on a rolling basis, so early submission is encouraged to increase your chances of consideration. Step 5: Track your application status through the Amazon job portal for updates. Resume & Profile Tips for This Role Highlight Relevant Skills — emphasize your experience with Python , SQL , and data engineering tools. Showcase Projects — include any hands-on project experience related to data engineering. Detail Your Experience — clearly outline your 3+ years of experience in data-related roles. Quantify Achievements — use numbers to demonstrate the impact of your work, such as performance improvements or project outcomes. Important: Early application is beneficial as roles may close once a suitable candidate is found. Apply Now — Official Link NexisGrow.com does not charge any fees for job applications. Frequently Asked Questions Interview · Role · Salary · Growth ? What are the eligibility criteria for the Data Engineer role at Amazon? Eligibility Tap to expand + Answer Candidates must have a Bachelor's or Master's degree in Computer Science or related fields, with eligibility for batches 2023-2026. Freshers and those with up to 2 years of experience are welcome. ? What is the interview process for Data Engineer at Amazon? Interview Tap to expand + Answer The interview process includes an initial application screening, followed by a technical interview focused on data engineering skills, and a behavioral interview to assess cultural fit. ? What technologies and tools will I work with? Tech Stack Tap to expand + Answer You will primarily work with SQL and Python for data manipulation, alongside AWS services like S3 and Redshift for data storage and analytics. ? What is the salary and compensation for this role? Salary Tap to expand + Answer The salary range is ₹12 – ₹22 LPA, with opportunities for performance-based bonuses and annual appraisals. ? Is this role work from home, hybrid, or onsite? Work Mode Tap to expand + Answer This role is primarily onsite in Hyderabad, but may offer hybrid options based on team requirements and company policies. ? What is the career growth path after joining Amazon as a Data Engineer? Growth Tap to expand + Answer Within 6-12 months, you can expect to take on more complex projects, with potential for promotions and new responsibilities within 2-3 years. ? How should I prepare for the Data Engineer interview at Amazon? Preparation Tap to expand + Answer Focus on brushing up on SQL and Python skills, understanding data warehousing concepts, and preparing to discuss past projects and problem-solving experiences. ? How do I apply and what documents are needed? Application Tap to expand + Answer Apply through the official Amazon careers page, ensuring your resume highlights relevant experience and skills tailored to the role. ? Is there a probation period and what does it involve? Probation Tap to expand + Answer Yes, there is typically a probation period of 3-6 months, during which performance will be evaluated to ensure a good fit for the role. ? What is the work culture like at Amazon? Culture Tap to expand + Answer Amazon fosters a culture of innovation, collaboration, and diversity, encouraging employees to learn continuously and contribute to team success. 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. Beware of fraudulent offers. Naukri ki baat, NexisGrow ke saath • NexisGrow.com