N #1962
Applications open
Full-Time Job
Aws Data Engineer
Hexaware Technologies
About the role
Dear Candidate, We are hiring for the below demand on high priority , kindly share the below details. Skill :AWS Data Engineer Exp:9-12yrs Loc: Any Hexa location NP: immediate to 10days JD: Technical Skills โข Experience with AWS services such as o Aurora (MySQL, PostgreSQL), Amazon S3 (Data Lake), AWS Glue, AWS DMS o Amazon MSK (Kafka), Kinesis Data Streams, Kinesis Firehose, API Gateway o Lambda, AWS Glue ETL, EMR, Partitioning, Data Skew Handling, Incremental Loading โข Advanced SQL and data modeling expertise. โข Strong Python and PySpark development experience. โข Deep understanding of ETL and ELT architecture patterns. โข Experience implementing Master Data Management solutions. โข Experience building RESTful APIs and data services. โข Familiarity with GraphQL and modern integration approaches . โข Understanding of microservices-based architectures. โข Experience implementing event-driven and real-time data processing solutions. โข Strong understanding of data quality frameworks, metadata management, and data lineage concepts. Experience โข 8+ years of experience in data engineering, software engineering, or enterprise data platform development. โข 3+ years of technical leadership experience leading engineering teams or large-scale data initiatives. โข Proven experience designing and delivering enterprise data platforms, pipelines, and data products . โข Experience operating within agile software development environments. Kindly share the below details n: Name : Exp : Rel Exp : C CTC : Exp CTC : NP: C loc: P loc: Freelancing done : Ok for Virtual interview on 24th Oct-2026 : reach via "sandhyas5@hexaware.com" or 9092448466 Regards, Sandhya Shree Srinivasan
Eligibility & process
Who can apply
Experience: 9-12 Yrs. Open to matching qualifications.
Skills & stack
Selection process
- Online Assessment / Technical Interview Rounds / HR Review
Prep kit
20 resourcesStudy material 4
Aptitude Practice Questions & Mock Tests
Curated logical, quantitative, and verbal reasoning problems for the initial online screening round.
Company-Specific Interview Preparation Corner
Detailed interview experiences, exam formats, and previous test questions for Hexaware Technologies and tech roles.
Technical Placement Cheat Sheets & Question Bank
High-yield coding cheat sheets, core CS fundamentals (OOP, DBMS, OS, Networks), and rapid revision guides.
Algorithm, DSA & Live Code Debugger Practice
Hands-on problem sets to improve coding speed and step-by-step memory debugging.
Company-specific guides 4
APTITUDE & LOGIC
Aptitude Practice Questions & Online Mock Tests
Curated logical, quantitative, and verbal reasoning problems to sharpen reasoning skills required for the initial screening test.
COMPANY GUIDE
Hexaware Technologies Interview Preparation Corner
Comprehensive guide covering typical interview formats, common questions, and preparation tips for Hexaware Technologies and off-campus tech roles.
MOCK TESTS & PAPERS
Comprehensive Interview Prep Resources & Syllabus
Collection of previous year questions, company-specific test patterns, and interview experiences for technical and HR rounds.
CODING PRACTICE
Algorithm and Data Structure Problem Set
Practice problems to improve coding proficiency and algorithm problem-solving speed for technical rounds.
Likely coding questions 4
Round-wise strategy 4
Round 1: Online Assessment (OA)
Aptitude, Quantitative Logic & 2 Coding Problems
Focus on accuracy and speed. Practice arrays, strings, and standard arithmetic puzzles.
Round 2: Technical Interview 1
Core Tech Stack (Athena, Glue, Amazon Redshift, AWS, AWS Glue, Data, Lamda) & Live Code Tracing
Explain your thought process aloud. Analyze time & space complexities before coding.
Round 3: System Design & Problem Solving
Database Schemas, APIs & Architecture Basics
Clarify edge cases, diagram schemas cleanly, and discuss scalability trade-offs.
Round 4: HR & Cultural Fit Discussion
Hexaware Technologies Core Values, Learning Agility & Offer Terms
Demonstrate passion, strong communication, and readiness for full-time collaboration.
Technical questions 5
Explain OOP (Object-Oriented Programming) principles with real-world examples in Athena. Answer
Model answer: 1. Encapsulation (data hiding via private fields/getters). 2. Abstraction (hiding implementation complexity). 3. Inheritance (code reusability). 4. Polymorphism (method overriding/overloading).
What is the time and space complexity of QuickSort vs MergeSort? Answer
Model answer: QuickSort: Average O(N log N) time, O(log N) space. Worst O(N^2). MergeSort: Guaranteed O(N log N) time, but requires O(N) auxiliary space.
Explain the difference between SQL Indexing (B-Tree vs Hash) and when not to use an index. Answer
Model answer: Indexes speed up SELECT queries via B-Trees. However, they slow down INSERT, UPDATE, and DELETE operations because indexes must be updated on disk. Avoid on low-cardinality columns (e.g., boolean flags).
What happens under the hood when you enter a URL in a browser? Answer
Model answer: 1. DNS lookup (resolves IP). 2. TCP 3-way handshake (SYN, SYN-ACK, ACK). 3. TLS negotiation for HTTPS. 4. HTTP GET request sent. 5. Server responds with HTML/CSS/JS. 6. Browser renders DOM & CSSOM tree.
What is the difference between REST and GraphQL APIs? Answer
Model answer: REST uses multiple fixed endpoints with possible over/under-fetching. GraphQL uses a single endpoint allowing clients to query exact fields in a single request.
Behavioural & HR questions 3
Why do you want to join Hexaware Technologies as a Aws Data Engineer?
Highlight Hexaware Technologies's market reputation, recent tech innovations, and how your skills in Athena directly solve their team's objectives.
Highlight Hexaware Technologies's market reputation, recent tech innovations, and how your skills in Athena directly solve their team's objectives.
Describe a challenging bug or academic project roadblock and how you resolved it.
Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
How do you handle strict deadlines or sudden scope changes?
Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.
Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.