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Sr.Software engineer-Snowflake Oracle

Tech Mahindra

  • Bengaluru, India
  • Competitive Package (Best in Industry)
  • 5-7 Yrs
  • Posted Today
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About the role

Dear Applicants, Greetings from Tech Mahindra! We are seeking a skilled Data Engineer with 5-6 years of experience in designing, developing, and supporting enterprise data integration and analytics solutions. The ideal candidate should have strong hands-on expertise in Snowflake, Oracle, PySpark, SQL, and Data Warehousing , with experience in building scalable data pipelines and enabling data-driven decision-making.

Role:

Data Engineer Experience

5-6

Years Location

PAN India Notice Period

Immediate

Key Responsibilities

  • Design, develop, and maintain scalable data pipelines using Snowflake, PySpark, and Oracle . Perform ETL/ELT processes for data extraction, transformation, and loading from multiple sources. Analyze, profile, validate, and troubleshoot data to ensure high data quality and integrity. Develop and optimize SQL queries, stored procedures, and database objects for performance and efficiency. Collaborate with business analysts, architects, and cross-functional teams to understand data requirements. Support data warehousing, reporting, analytics, and business intelligence initiatives. Monitor and enhance data pipeline performance, reliability, and scalability. Implement best practices for data governance, security, and documentation.

Required Skills

  • 5-6 years of experience in Data Engineering or Data Warehousing . Strong hands-on experience with: Snowflake Oracle SQL / PLSQL PySpark SQL Experience in Data Analysis, Data Profiling, and Data Validation . Strong understanding of ETL/ELT concepts and data integration methodologies. Experience with Data Warehousing concepts, dimensional modeling, and performance tuning. Strong analytical, troubleshooting, and problem-solving skills. Excellent communication and stakeholder management skills.

Preferred Skills

  • Experience with cloud platforms such as Azure, AWS, or GCP .
  • Knowledge of Python and data orchestration tools.
  • Experience working with enterprise reporting and analytics solutions.
  • Snowflake Certification is an added advantage.

Eligibility & process

Who can apply

Experience: 5-7 Yrs. Open to matching qualifications.

Skills & stack

Data Analysis Python PLSQL Azure Cloud Warehouse Oracle DB Analysis SQL

Selection process

  1. Online Assessment / Technical Interview Rounds / HR Review

Prep kit

20 resources
Study material 4
Company-specific guides 4
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 Analysis, Python, PLSQL, Azure Cloud, Warehouse, Oracle DB, Analysis, SQL) & 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 Sr.Software engineer-Snowflake Oracle?
Highlight Tech Mahindra's market reputation, recent tech innovations, and how your skills in Data Analysis 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).
How do you handle strict deadlines or sudden scope changes?
Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.
Tech Mahindra Competitive Package (Best in Industry)
Recruiter Resume Apply
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