
Looking for your next big opportunity in Data Engineering, Cloud, AI/ML, and Analytics? Here’s some exciting news! π
LTIMindtree is actively hiring experienced professionals for multiple technology positions across Bangalore, Hyderabad, Pune, Chennai, Mumbai, and other locations.
The company is seeking talented professionals in Big Data, Data Engineering, Cloud Technologies, AI/ML, Data Architecture, Business Intelligence, and Project Management domains.
π Open Positions at LTIMindtree
| Job ID | Skills | Experience | Location |
|---|---|---|---|
| 863956 | Scala Spark, Big Data Hadoop Ecosystem, Apache Spark, Python | 3-12 Years | Bangalore, Chennai, Hyderabad, Mumbai, Pune |
| 868572 | Ab Initio, AbInitio-MDH, ANSI-SQL, Bash/Shell Scripting | 3-5 Years | Pune |
| 854750 | MySQL, PySpark, Data Science, Python, Snowflake | 5-7 Years | Hyderabad |
| 860860 | ANSI-SQL, Dimensional Data Modeling, Informatica PowerCenter | 5-7 Years | PAN India |
| 866305 | AWS Glue, AWS Lambda, Python | 7-11 Years | Hyderabad |
| 867474 | GCP Bigtable, GCP Cloud Functions, Git, Python | 7-11 Years | Mumbai |
| 872832 | Resource Management, Risk Management, Schedule Management | 11-15 Years | Bangalore |
| 767661 | Python, Apache Spark, Java, Scala, Databricks | 5-7 Years | PAN India |
| 817245 | Azure Data Factory, Azure SQL, Azure Data Lake, Databricks | 5-7 Years | Pune |
| 864713 | Azure DevOps, Azure Synapse Analytics | 5-7 Years | Pune |
| 866487 | Power BI | 5-7 Years | Pune |
| 866490 | Data Architecture | 7-11 Years | Pune |
| 868065 | Snowflake AI/ML | 5-7 Years | Pune |
| 869842 | Data Architecture, Data Vault Modeling, Snowflake Administration | 11-15 Years | Bangalore |
| 840338 | Databricks | 5-7 Years | Pune |
| 842827 | Collibra, Dimensional Data Modeling | 11-15 Years | Hyderabad |
| 863987 | Data Architecture, IBM-MDM | 7-11 Years | Hyderabad |
| 869921 | PostgreSQL, Python | 7-11 Years | Hyderabad |
π’ About LTIMindtree
LTIMindtree is a global technology consulting and digital solutions company formed through the merger of Larsen & Toubro Infotech (LTI) and Mindtree.
π Company Highlights
β
Presence in more than 30 countries
β
Over 80,000 employees worldwide
β
Clients across Banking, Manufacturing, Healthcare, Retail, and Telecom sectors
β
Expertise in Cloud, AI, Data Analytics, Digital Engineering, and Enterprise Solutions
β
One of India’s fastest-growing IT services companies
Working at LTIMindtree means being part of large-scale digital transformation projects and working with cutting-edge technologies.
πΌ Why These Roles Are Great for Experienced Professionals
These openings are ideal because they offer:
π Opportunities to work on enterprise-scale data platforms.
π Exposure to modern technologies like:
- Databricks
- Snowflake
- GCP
- AWS
- Azure
- AI/ML
- Big Data Ecosystem
π High visibility projects with Fortune 500 clients.
π Excellent learning opportunities and certifications.
π Career growth into Architect and Leadership roles.
π Competitive compensation and benefits.
π οΈ Skills Required
Depending upon the role, candidates should possess expertise in:
π» Programming Languages
β Python
β Java
β Scala
β SQL
β Shell Scripting
βοΈ Cloud Technologies
β AWS
β Azure
β GCP
π Data Technologies
β Hadoop Ecosystem
β Spark
β Databricks
β Snowflake
β Informatica PowerCenter
β PostgreSQL
π Analytics & BI
β Power BI
β Azure Synapse Analytics
β Collibra
ποΈ Data Architecture
β Data Modeling
β Data Vault
β MDM
β ETL Design
π― Expected Interview Rounds
The hiring process generally consists of:
Round 1 β Resume Screening π
Initial profile evaluation based on experience and skills.
Round 2 β Technical Assessment π»
Questions on:
- SQL
- Python
- Spark
- Cloud Technologies
- Architecture Concepts
Round 3 β Coding Round π¨βπ»
Hands-on coding and problem-solving.
Round 4 β Technical Interview π―
Deep discussion on projects and technical expertise.
Round 5 β Managerial Round π€
Communication skills and project management capabilities.
Round 6 β HR Discussion πΌ
Salary, notice period, and final offer discussions.
π° Expected Salary Range
Salary depends on skills, role, and experience.
| Experience | Expected CTC |
|---|---|
| 3-5 Years | βΉ8 β βΉ15 LPA |
| 5-7 Years | βΉ15 β βΉ24 LPA |
| 7-11 Years | βΉ24 β βΉ40 LPA |
| 11-15 Years | βΉ35 β βΉ55+ LPA |
Professionals with strong Cloud, AI, and Data Architecture skills can receive even higher packages.
π Preparation Tips
For Data Engineers
β
Practice SQL queries daily.
β
Revise Spark transformations and actions.
β
Learn Data Modeling concepts.
For Cloud Engineers
β
Understand AWS, Azure, and GCP services.
β
Practice architecture design scenarios.
For AI/ML Professionals
β
Revise Machine Learning fundamentals.
β
Learn Snowflake AI and Generative AI concepts.
For Architects
β
Prepare Data Warehouse design questions.
β
Review MDM and Data Governance frameworks.
For Project Managers
β Prepare Agile and Risk Management scenarios.
π Resume Tips
To improve your chances of getting shortlisted:
β Keep your resume within 2 pages.
β Mention:
- Total Experience
- Relevant Experience
- Current CTC
- Expected CTC
- Notice Period
β Add measurable achievements.
Example:
β Improved ETL performance by 40%.
β Reduced query execution time by 60%.
β Designed scalable data platform handling 10TB+ data.
β Include certifications:
- AWS
- Azure
- Databricks
- Snowflake
- GCP
β Highlight client projects and business impact.
π§ How to Apply
Interested candidates can send the following details:
β
Job ID
β
Full Name
β
Email ID
β
Total Years of Experience
β
Updated Resume (PDF)
π© Email: sourav.sarkar1101@gmail.com
π Subject: Referral Request β Job ID XXXXX
π Final Thoughts
If you’re an experienced professional looking to accelerate your career in Data Engineering, Cloud Computing, AI/ML, or Data Architecture, these opportunities at LTIMindtree are definitely worth exploring.
π Global projects
π Excellent learning opportunities
π Modern technology stack
π Strong career growth
π Competitive compensation
π Don’t miss this opportunity to become part of one of India’s leading technology companies and work on the future of data and digital transformation.
