N #4216
Applications open
Full-Time Job
Walk-in || Big Data Engineer
Hexaware Technologies
About the role
Mandatory Skills : Skills: AWS + python + pyspark .( AWS + Data Engineer ) Experience : 6 - 12 yrs Location : Pune Roles & Responsibility : 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 Advanced SQL and data modeling expertise.
- Strong Python and PySpark development experience. Deep understanding of ETL and ELT architecture patterns.
- Experience implementing Master Data Management solutions. Experience building RESTful APIs and data services.
- Familiarity with GraphQL and modern integration approaches.
- Understanding of microservices-based architectures. Experience implementing event-driven and real-time data processing solutions.
- Strong understanding of data quality frameworks, metadata management, and data lineage concepts.
- 8+ years of experience in data engineering, software engineering, or enterprise data platform development. 3+ years of technical leadership experience leading engineering teams or large-scale data initiatives. Proven experience designing and delivering enterprise data platforms, pipelines, and data products.
- Experience operating within agile software development environments. Best Regards, Merlin Raju TAG Email:kaviyamerlinr@hexaware.com Web: www.hexaware.com
Eligibility & process
Who can apply
Experience: 7-12 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 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 (AWS, Big Data, Pyspark, Data, Python, Data Engineering, SQL, REST APIs) & 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
What is the difference between WHERE and HAVING clauses in SQL? Answer
Model answer: WHERE filters rows before any groupings are applied, while HAVING filters aggregated groups after GROUP BY has executed.
Explain SQL Window functions: ROW_NUMBER(), RANK(), and DENSE_RANK(). Answer
Model answer: ROW_NUMBER() assigns unique sequential integers. RANK() assigns identical ranks to ties and skips ranks. DENSE_RANK() assigns identical ranks to ties without skipping rank numbers.
How do you handle NULL and missing values during data cleaning in Python/Pandas? Answer
Model answer: Use .isna().sum() to identify missing values. Impute with mean/median using .fillna() or remove with .dropna(subset=[...]) depending on variance impact.
What is the difference between Star Schema and Snowflake Schema in Data Warehousing? Answer
Model answer: Star Schema has denormalized dimension tables directly connected to the central Fact table. Snowflake Schema normalizes dimension tables into sub-dimensions to minimize redundancy.
How do you calculate MoM (Month-over-Month) growth in SQL? Answer
Model answer: Use LAG(revenue, 1) OVER (ORDER BY month) to fetch the previous month's revenue and compute (revenue - prev_revenue) / prev_revenue * 100.
Behavioural & HR questions 3
Why do you want to join Hexaware Technologies as a Walk-in || Big Data Engineer?
Highlight Hexaware Technologies's market reputation, recent tech innovations, and how your skills in AWS directly solve their team's objectives.
Highlight Hexaware Technologies's market reputation, recent tech innovations, and how your skills in AWS 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.
Competitive Package (Best in Industry)
Pune, India
Experience: 7-12 Yrs. Open to matching quโฆ
