Job Description
## VP – Big Data Engineering
**Industry:** Data Analytics | **Function:** BIG DATA ENGINEERING | **Level:** Senior
**Location:** Bengaluru | **CTC:** ₹24.6 - ₹25.4 LPA | **Experience:** 11-14 years
### Role Overview
We're expanding our BIG DATA ENGINEERING team within Data Analytics and are on the lookout for a VP – Big Data Engineering. This is a senior position operating in a data analytics team turning raw numbers into decisions the business can act on.
### Key Responsibilities
- Take ownership of day-to-day activities related to big data engineering.
- Apply hands-on knowledge of Statistical Analysis and Data Cleaning & Wrangling to deliver on team goals.
- Collaborate with cross-functional stakeholders to ensure smooth execution.
- Maintain accurate documentation and reporting as required by the Data Analytics function.
- Flag risks or bottlenecks early and work with the team to resolve them.
### Requirements
- Education: M.Sc. Data Science / B.Sc. Statistics
- Experience: 11-14 years
- Core skills: Statistical Analysis, Data Cleaning & Wrangling, A/B Testing Basics, Dashboarding, Python/R Programming, SQL
- Comfortable working in Full-Time arrangement based out of Bengaluru
### Life on the Team
There's a clear internal growth path, with regular skip-level reviews and structured career conversations.
### Compensation
CTC on offer: ₹24.6 - ₹25.4 LPA, updated as of 10-Jul-2026.
We review applications on a rolling basis, so early applications are encouraged.
**Industry:** Data Analytics | **Function:** BIG DATA ENGINEERING | **Level:** Senior
**Location:** Bengaluru | **CTC:** ₹24.6 - ₹25.4 LPA | **Experience:** 11-14 years
### Role Overview
We're expanding our BIG DATA ENGINEERING team within Data Analytics and are on the lookout for a VP – Big Data Engineering. This is a senior position operating in a data analytics team turning raw numbers into decisions the business can act on.
### Key Responsibilities
- Take ownership of day-to-day activities related to big data engineering.
- Apply hands-on knowledge of Statistical Analysis and Data Cleaning & Wrangling to deliver on team goals.
- Collaborate with cross-functional stakeholders to ensure smooth execution.
- Maintain accurate documentation and reporting as required by the Data Analytics function.
- Flag risks or bottlenecks early and work with the team to resolve them.
### Requirements
- Education: M.Sc. Data Science / B.Sc. Statistics
- Experience: 11-14 years
- Core skills: Statistical Analysis, Data Cleaning & Wrangling, A/B Testing Basics, Dashboarding, Python/R Programming, SQL
- Comfortable working in Full-Time arrangement based out of Bengaluru
### Life on the Team
There's a clear internal growth path, with regular skip-level reviews and structured career conversations.
### Compensation
CTC on offer: ₹24.6 - ₹25.4 LPA, updated as of 10-Jul-2026.
We review applications on a rolling basis, so early applications are encouraged.