Amazon Hiring 2027 Batch: Data Engineer Intern | Pan-India (Job ID 10496769)

Company: Amazon Development Centre India (ADCI)
Job Title: Data Engineer Intern – 2027
Job ID / Requisition: 10496769
Base Hub / Facility Reference: ADCI HYD 13 SEZ
Employment Type: Full-Time Internship (Requires signed University NOC / Availability Declaration)
Target Batch / Experience: 2027 Graduating Batch (Final Year Bachelor’s or Master’s Students)
Hiring Locations: Pan-India (Bengaluru, Chennai, Hyderabad, Noida, and other Amazon India hubs)

Amazon is a global leader in e-commerce, cloud computing (AWS), digital streaming, and artificial intelligence. Across its Indian development centers (ADCI), data engineering teams build high-throughput analytical data platforms, scalable data lakes, and petabyte-scale data warehouses that power business intelligence, supply chain optimization, and customer insights worldwide.

The Data Engineer Intern – 2027 (Job ID: 10496769) role embeds final-year students directly into fast-paced engineering teams alongside Business Analysts, Software Development Engineers (SDEs), and Senior Data Engineers. Interns design and maintain complex ETL pipelines, optimize relational and NoSQL data models, and leverage native AWS big data services (S3, Redshift, Glue, EMR, Lambda) alongside distributed processing engines (Apache Spark, Hive, Hadoop) to solve ambiguous business problems.

• ETL Pipeline Engineering: Extract, transform, and load (ETL) high-volume datasets from diverse sources using AWS Glue, EMR, Lambda, and Apache Spark.
• Data Warehousing & Modeling: Design relational schemas, dimensional models (Star/Snowflake), and optimize queries across Amazon Redshift, RDBMS, and NoSQL storage systems.
• Data Lake & Big Data Operations: Build and maintain scalable data lake components on Amazon S3 and Hadoop, utilizing SQL-on-Hadoop engines (Spark SQL, Hive, Impala).
• Analytics & Self-Service Reporting: Develop and maintain automated metrics, operational dashboards, and data validation checks to enable self-service business intelligence.
• Engineering Best Practices: Adopt software engineering rigor including version control (Git), unit testing, code reviews, data integrity validation, and technical documentation.

Academic Background & University Mandate

• Eligible Batch: Must be in the Final Year of a Bachelor’s or Master’s degree (B.E. / B.Tech / M.E. / M.Tech / M.S.) in Computer Science, Data Science, Information Technology, or a related engineering field (2027 passing out batch).
• Full-Time Commitment & NOC: Interns must commit full-time without academic class or concurrent internship conflicts. Final offer issuance is subject to submitting a formal University Availability Declaration signed by a competent college authority.

Mandatory Technical Competencies (“Basic Qualifications”)

• SQL & Query Optimization: Strong hands-on proficiency in writing complex SQL queries (window functions, CTEs, joins, aggregations).
• Programming & Scripting: Practical coding experience in Python (or equivalent scripting/OOP languages).
• Data Engineering Concepts: Solid foundational knowledge of RDBMS, NoSQL, Big Data ecosystems, ETL workflows, and Data Warehousing concepts.
• Communication: Strong verbal and written English communication skills with high adaptability in fast-paced environments.

Preferred / Good-to-Have Skills

• Hands-on experience with AWS services: Amazon S3, Amazon Redshift, AWS Glue, AWS Lambda, EMR, and Amazon RDS.
• Knowledge of Computer Science fundamentals: Data Structures, Algorithms, Object-Oriented Design, and Complexity Analysis.
• Exposure to BI/visualization tools (QuickSight, Tableau, Power BI) and Agile SDLC practices.

• Estimated Monthly Stipend: ₹80,000 to ₹1,10,000 per month (standard Amazon India Engineering/Data Intern stipend band), plus relocation/travel assistance and meal/commute allowances.
• Full-Time Conversion (PPO Opportunity): High-performing interns are evaluated for direct Pre-Placement Offers (PPO) into full-time Data Engineer I (L4) roles upon graduation (₹18.0 LPA to ₹28.0 LPA CTC).
• Amazon Intern Perks:
  • Direct mentorship from Amazon Data Engineers and access to AWS cloud sandboxes and internal training.
  • Exposure to petabyte-scale production data architectures and Amazon’s Leadership Principles culture.

1. Online Application & Resume Screening (Job ID: 10496769)
   (Verification of 2027 final-year CS/Engineering status, SQL/Python projects, & Pan-India location flexibility)
   ↓
2. Amazon Online Assessment (HackerRank / Mettl)
   (Evaluation of Complex SQL Queries, Python Data Manipulation/DSA Coding, Data Warehousing MCQs, & Work Style Survey)
   ↓
3. Technical Interview Round 1 (SQL, Data Modeling & Python Coding)
   (Live SQL query writing [Window functions, Joins], Star vs. Snowflake schema design, & Python algorithmic coding)
   ↓
4. Technical Interview Round 2 (Big Data, ETL Architecture & Leadership Principles)
   (Deep dive into ETL pipeline design, Spark/AWS basics, handling skewed data, & Amazon Leadership Principles behavioral scenarios)
   ↓
5. Offer Rollout & University NOC Verification
   (Location allocation [Bengaluru/Hyderabad/Chennai/Noida], submission of signed University Declaration, & onboarding)

• Advanced SQL: ROW_NUMBER(), RANK(), DENSE_RANK(), LEAD()/LAG(), Common Table Expressions (CTEs), self-joins, query execution plans, and indexing strategies.
• Data Warehousing & ETL Design: Fact vs. Dimension tables, Slowly Changing Dimensions (SCD Type 1, 2, 3), OLTP vs. OLAP, partitioning, bucketing, and incremental data loads.
• Python & Big Data Basics: Pandas/PySpark data transformations, handling null/duplicate records, file formats (Parquet, ORC, Avro, JSON), and core DSA (HashMaps, Arrays, Strings).
• Amazon Leadership Principles (LPs): Prepare STAR-format stories demonstrating Customer Obsession, Ownership, Learn and Be Curious, and Dive Deep.

• Role & Program: Data Engineer Intern 2027, Amazon Intern, ETL Pipeline Development, Data Warehousing, Analytical Data Platform
• Core Languages & Databases: SQL, Python, RDBMS, NoSQL, Dimensional Modeling, Star Schema, Snowflake Schema, OLAP, Data Integrity
• AWS & Big Data Stack: Amazon S3, Amazon Redshift, AWS Glue, AWS EMR, AWS Lambda, Amazon RDS, Apache Spark, Hadoop, Hive, Impala, Elasticsearch
• Amazon Specifics: Job ID 10496769, ADCI HYD 13 SEZ, Pan-India Internship, Bengaluru, Hyderabad, Chennai, Noida

1. What is the Job ID for this Amazon Data Engineer Intern opening?

The official Amazon Job ID is 10496769 (listed under ADCI HYD 13 SEZ).

2. Which locations is Amazon hiring for under this requisition?

Applying to this requisition considers candidates for all Amazon hiring locations across India, including Bengaluru, Chennai, Hyderabad, and Noida.

3. Who is eligible to apply for this internship?

Students currently in the final year of their Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (2027 graduating batch) with hands-on SQL and Python skills are eligible.

4. Is a university No-Objection Certificate (NOC) mandatory?

Yes. Selected candidates must submit a signed declaration of availability from a competent authority at their university confirming full-time availability without academic or project conflicts.