📋 Job Details at a Glance 📍 Location Hyderabad, Telangana 🏢 Company Amazon 👥 Experience 1+ years 🎓 Qualification Any Graduate 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary ₹14L – ₹26L LPA (Estimated based on entry-to-mid-level Data Engineering roles at Amazon India) 🏢 Industry Technology 🛠 Key Skills SQL Data Modeling Data Warehousing Python Scala KornShell Hadoop Hive Spark EMR Data Engineer at Amazon — Full Details & How to Apply Amazon is seeking a skilled Data Engineer to join its team in Hyderabad . This role offers a unique opportunity to work on cutting-edge data solutions in a global tech leader, where your contributions will directly impact data-driven decision-making processes. In today's data-driven landscape, the role of a Data Engineer is crucial for transforming raw data into actionable insights, making this position vital for Amazon's analytics initiatives. As organizations increasingly rely on data to inform their strategies, the demand for proficient Data Engineers continues to surge. With the rise of big data technologies and cloud computing, professionals in this field are more relevant than ever. By stepping into this role, you will not only enhance your technical skills but also play a pivotal part in shaping the future of data analytics within a leading technology firm. Amazon stands out as an employer due to its commitment to innovation, employee development, and a culture that fosters creativity and collaboration. The company invests in its workforce, providing opportunities for continuous learning and growth, making it an ideal workplace for aspiring Data Engineers . With a focus on cutting-edge technologies like AWS , Hadoop , and Spark , you will be at the forefront of technological advancements, working alongside some of the brightest minds in the industry. This opportunity is perfect for both freshers and candidates with up to 2 years of experience . Eligible candidates should possess a B.Tech, MCA, or equivalent degree and belong to the 2023, 2024, 2025, or 2026 graduating classes. If you have a passion for data and a strong foundation in technologies such as SQL , Python , and AWS , you are encouraged to apply online and take the first step toward a rewarding career. As a Data Engineer at Amazon , you will gain invaluable experience in cloud architecture , production-grade Java development , and Agile workflows . You will also have the opportunity to work with advanced tools like AWS Redshift , AWS Glue , and AWS Kinesis , equipping you with the skills needed to excel in a rapidly evolving tech landscape. This role not only offers a competitive salary ranging from ₹14L to ₹26L LPA but also opens doors for rapid career advancement within a Fortune 500 company. NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting, ensuring you have the most accurate and up-to-date information regarding Amazon recruitment and how to apply online . Job Role & Responsibilities The role of a Data Engineer at Amazon is pivotal in enhancing the company's analytics capabilities through the design and implementation of robust data pipelines. This position requires a blend of technical expertise and collaborative spirit to ensure seamless data flow across various systems. Design and implement robust data pipelines to ensure seamless data flow across various systems, enhancing Amazon's analytics capabilities. Utilize tools such as AWS Redshift , Spark , and EMR to develop scalable data models and optimize data storage solutions . Collaborate with cross-functional teams , including data scientists and software engineers , to align data engineering efforts with business objectives. Monitor and analyze data quality metrics to ensure integrity and reliability of data used for decision-making across the organization. Take ownership of projects from conception to deployment, driving continuous improvement in data processes and methodologies. Document data engineering processes and workflows to facilitate knowledge sharing and ensure compliance with best practices. Identify and troubleshoot data-related issues , leveraging innovative solutions to enhance system performance and reliability. Participate in regular team meetings to discuss project progress, challenges, and opportunities for improvement. At Amazon , we foster an ownership culture where each Data Engineer is empowered to drive impactful changes, ensuring that our data systems are not only efficient but also scalable for future growth. Required Skills & Technical Competencies The ideal candidate for the Data Engineer position at Amazon should possess a diverse skill set that combines technical prowess with analytical capabilities. This role demands proficiency in various data technologies and a strong foundation in programming languages. Technical Skills SQL (Advanced) — essential for querying and managing large datasets effectively. Data Modeling — experience in designing efficient data structures that support analytics and reporting needs. Python (Intermediate) — used for data processing and automation tasks within the data pipeline. Scala (Intermediate) — utilized for building scalable data processing applications. AWS S3 — familiarity with this service is crucial for storing and retrieving data in the cloud. AWS Glue — knowledge of this ETL service is important for data integration tasks. AWS Kinesis — experience with this service is beneficial for real-time data processing. Hadoop — understanding of this framework is advantageous for handling large datasets. Soft Skills & Professional Competencies Analytical thinking — ability to analyze complex data sets and derive actionable insights. Problem-solving — strong skills in identifying issues and developing innovative solutions. Effective communication — essential for collaborating with diverse teams and stakeholders. Time management — ability to prioritize tasks and manage multiple projects simultaneously. Good to Have (Bonus) AWS Lambda — knowledge of serverless computing can enhance data processing capabilities. AWS Firehose — experience with this service is a plus for real-time data streaming. Hadoop Ecosystem Tools — familiarity with tools like Hive and Spark is advantageous. To effectively showcase these skills during your resume or interview for the Data Engineer role at Amazon , focus on relevant projects, certifications, and practical experiences that highlight your technical competencies and problem-solving abilities. Eligibility Criteria This role is designed for recent graduates who are eager to kickstart their careers in data engineering and possess a strong foundational knowledge in relevant fields. Candidates must hold a degree in any field , with a preference for those with a background in Computer Science , Engineering , or related disciplines. Eligible batches include 2023, 2024, 2025, and 2026 graduates. A minimum CGPA of 7.0 is preferred, reflecting a solid academic foundation in relevant subjects. Both freshers and candidates with up to 2 years of experience are encouraged to apply. Projects or certifications in data engineering , cloud computing , or related fields will strengthen your application. Prior internship or hands-on project experience is a strong advantage. Documentation & Portfolio Requirements Prepare a well-structured resume that highlights your academic achievements, relevant projects, and any certifications. Include a GitHub portfolio showcasing your coding skills and data engineering projects. Pro Tip: Tailor your application to emphasize any experience with AWS services and data processing tools, as this will significantly improve your success rate for the Data Engineer role at Amazon . Salary & Benefits 💰 Compensation ₹14L – ₹26L LPA (Estimated based on entry-to-mid-level Data Engineering roles at Amazon India) The estimated salary for the Data Engineer role at Amazon ranges from ₹14L – ₹26L LPA , reflecting the competitive compensation structure for data engineering positions at Amazon India . This compensation package is designed to attract top talent and reward employees for their contributions to the company's success. What Your CTC Could Include Health Insurance — comprehensive coverage for employee and family worth ₹5 lakh annually Retirement Benefits — contributions to Provident Fund and Employee Stock Ownership Plan Performance Bonus — annual performance bonuses based on individual and company performance Flexible Work Hours — options for hybrid work to promote a healthy work-life balance Learning and Development — access to various training programs and certifications Additional Perks & Benefits Meal Allowance — monthly meal vouchers to support healthy eating Transportation Benefits — reimbursement for commuting costs Wellness Programs — initiatives to promote mental and physical well-being Employee Discounts — exclusive discounts on Amazon products and services Paid Time Off — generous vacation and sick leave policies Career Progression & Salary Growth At Amazon , employees can expect structured appraisal cycles that typically occur annually. Raises can range from 10% to 20% based on performance, with clear promotion timelines that encourage rapid career advancement . The company supports internal mobility options, allowing employees to explore various roles within the organization. NexisGrow.com tip: When negotiating your salary, consider discussing your unique skills and experiences that align with the Data Engineer role, as well as the competitive landscape of the technology industry. Selection Process The hiring philosophy at Amazon emphasizes finding candidates who not only possess the necessary technical skills but also align with the company's core values and culture. The selection process is designed to assess both technical and soft skills in a structured manner. 1 Round 1: Initial Screening — online application and resume review focusing on relevant skills and experiences. 2 Round 2: Technical Interview — assessing your knowledge of data engineering concepts, SQL proficiency, and problem-solving abilities. 3 Round 3: Behavioral Interview — evaluating cultural fit, teamwork, and communication skills , often using the STAR method. 4 Final Stage: Offer Presentation — background check to ensure all qualifications and experiences are verified. What Each Round Tests In Round 1 , the focus is on your resume and relevant experiences. Round 2 tests your technical skills, particularly in SQL and data engineering principles. Round 3 evaluates your communication skills and cultural fit within Amazon . Timeline & Expectations The entire selection process typically takes 4-6 weeks from application submission to final offer. Candidates can expect timely communication from Amazon regarding their application status and next steps. Interview Prep Tip: Familiarize yourself with the STAR method for behavioral interviews, as Amazon often uses this approach to assess candidates. How to Apply for Data Engineer at Amazon Apply Now — Amazon Step 1: Click the Apply button or visit the official Amazon career link to access the job posting. Step 2: Fill in your profile and upload your resume, highlighting relevant skills and experiences that align with the Data Engineer job description. Step 3: Expect an application confirmation email, followed by a screening process that may include assessments or preliminary interviews. Step 4: Prepare for interviews by reviewing common technical questions and practicing your problem-solving skills. Step 5: Track your application status through the Amazon careers portal. Resume & Profile Tips for This Role Highlight Technical Skills — emphasize your proficiency in Python , SQL , and AWS . Showcase Relevant Projects — include any hands-on project experience related to data engineering. Demonstrate Problem-Solving Abilities — provide examples of how you've tackled complex challenges. Tailor Your Resume — customize your resume to align with the Data Engineer role requirements. Note: Applications are accepted on a rolling basis, so apply early to increase your chances of securing an interview. 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 degree in any field, preferably in Computer Science or Engineering, and should belong to the 2023-2026 batches. ? What is the interview process for Data Engineer at Amazon? Interview Tap to expand + Answer The interview process includes an initial screening, a technical interview focusing on SQL and data engineering concepts, followed by a behavioral interview. ? What technologies and tools will I work with? Tech Stack Tap to expand + Answer You will work with AWS services like Redshift, S3, Glue, and tools such as Spark and EMR for data processing and analytics. ? What is the salary and compensation for this role? Salary Tap to expand + Answer The salary for this role ranges from ₹14L to ₹26L LPA, with opportunities for performance bonuses and career growth. ? Is this role work from home, hybrid, or onsite? Work Mode Tap to expand + Answer This role is primarily onsite in Hyderabad, but Amazon offers flexible work arrangements depending on team needs. ? What is the career growth path after joining Amazon as a Data Engineer? Growth Tap to expand + Answer You can expect a structured growth path with opportunities for promotions and lateral moves into specialized roles within 1-3 years. ? How should I prepare for the Data Engineer interview at Amazon? Preparation Tap to expand + Answer Focus on SQL, data modeling, and AWS technologies; practice problem-solving and prepare to discuss past projects. ? How do I apply and what documents are needed? Application Tap to expand + Answer Apply through the Amazon careers page, submitting your resume and highlighting relevant skills and experiences. ? Is there a probation period and what does it involve? Probation Tap to expand + Answer Yes, there is typically a 3-6 month probation period focusing on performance evaluation and integration into the team. ? What is the work culture like at Amazon? Culture Tap to expand + Answer The culture at Amazon emphasizes innovation, collaboration, and continuous learning, fostering a supportive environment for all employees. 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