N #3639
Applications open
Full-Time Job
Software Engineer
Tech Mahindra
About the role
Job Title: Fabric
Data Engineer Experience
510 Years
About the Role
We are seeking a hands-on Fabric Data Engineer with strong expertise in Microsoft Fabric, Python and SQL to build and maintain scalable data solutions across analytics and reporting use cases.
Key Responsibilities
- Design, develop and maintain Microsoft Fabric Data Engineering solutions , including Lakehouse, Warehouse, Pipelines and Notebooks.
- Build and maintain layered data architectures (Medallion) and production-grade ETL/ELT pipelines for batch and incremental processing.
- Develop and optimize Python, PySpark and SQL solutions for data ingestion and transformation.
- Integrate data from databases, APIs, OData, files and SaaS applications .
- Implement data quality, validation, reconciliation, monitoring and error handling .
- Develop reusable, parameterized and configuration-driven data processes.
- Apply appropriate data modelling and data warehousing practices.
- Follow established development, naming, documentation, testing and deployment standards .
- Collaborate with data engineers, analytics teams and business stakeholders.
- Mandatory Skills 5โ10 years of experience in data engineering, data warehousing, BI or related fields.
- Strong hands-on experience with Microsoft Fabric Data Engineering , including Lakehouse, Pipelines and Notebooks.
- Strong Python/PySpark and SQL skills.
- Strong understanding of ETL/ELT, data integration and data pipelines .
- Experience with incremental loading, CDC, watermarking and historical data processing .
- Experience with relational and analytical databases .
- Practical knowledge of dimensional modelling, star schemas and SCD Type 1/Type 2 .
- Experience integrating data through APIs, OData, databases, files and SaaS applications .
- Experience with Git, CI/CD and DEV/TEST/PROD deployment processes .
- Experience with data quality, reconciliation, monitoring, logging and error handling .
- Understanding of SQL and Spark performance optimization .
- Desirable Skills Exposure to SAP Analytics Cloud (SAC) and downstream reporting/data consumption use cases.
- Previous experience integrating or migrating SAP BTP calculated views to Microsoft Fabric or similar modern data platforms .
- Experience with Confluence for technical documentation and knowledge sharing.
- Exposure to Salesforce as a data source .
- Exposure to Microsoft Purview or other data governance, cataloguing, or metadata management solutions .
Eligibility & process
Who can apply
Experience: 5-10 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 Tech Mahindra 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
Tech Mahindra Interview Preparation Corner
Comprehensive guide covering typical interview formats, common questions, and preparation tips for Tech Mahindra 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 (Data Architecture, Azure Data Factory, Microsoft Azure, Architecture, Data Warehousing, SQL Server, Analytics, Warehouse) & 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
Tech Mahindra 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 Tech Mahindra as a Software Engineer?
Highlight Tech Mahindra's market reputation, recent tech innovations, and how your skills in Data Architecture directly solve their team's objectives.
Highlight Tech Mahindra's market reputation, recent tech innovations, and how your skills in Data Architecture 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.
15-27.5 Lacs PA
Bengaluru, India
Experience: 5-10 Yrs. Open to matching quโฆ
