Job Description
**Advanced Big Data Architect** — Data Analytics / BIG DATA ENGINEERING (Senior)
- **Location:** Bengaluru
- **CTC:** ₹25.0 - ₹29.7 LPA
- **Experience required:** 10-16 years
- **Education:** M.Sc. Data Science / MBA (Analytics) (preferred)
- **Job type:** Full-Time
- **Posted on:** 13-Jul-2026
**What you'll work on:**
- Applying Dashboarding in day-to-day work within the BIG DATA ENGINEERING function
- Applying Business Reporting in day-to-day work within the BIG DATA ENGINEERING function
- Applying SQL in day-to-day work within the BIG DATA ENGINEERING function
- Applying Data Cleaning & Wrangling in day-to-day work within the BIG DATA ENGINEERING function
- Applying Python/R Programming in day-to-day work within the BIG DATA ENGINEERING function
- Applying A/B Testing Basics in day-to-day work within the BIG DATA ENGINEERING function
- Applying Data Visualization (Power BI/Tableau) in day-to-day work within the BIG DATA ENGINEERING function
- Applying Statistical Analysis in day-to-day work within the BIG DATA ENGINEERING function
**What we're looking for:**
- Someone comfortable operating in a data analytics team turning raw numbers into decisions the business can act on
- Strong grip on the fundamentals of big data engineering
- Ability to work full-time out of Bengaluru
**A few more things:**
- The role blends planned, structured work with a fair share of ad-hoc problem solving as issues surface through the day.
- Mentorship is informal but consistent — senior team members actively coach newer hires on both skills and career direction.
- Feedback here is direct and frequent — managers expect you to speak up early rather than sit on a problem.
- Feedback here is direct and frequent — managers expect you to speak up early rather than sit on a problem.
- A typical day starts with reviewing open items from the previous shift, syncing with the immediate team, and prioritising the day's deliverables before diving into focused work blocks.
- No two days look identical — some are heads-down execution days, others are spent almost entirely in stakeholder conversations and reviews.
- A typical day starts with reviewing open items from the previous shift, syncing with the immediate team, and prioritising the day's deliverables before diving into focused work blocks.
- No two days look identical — some are heads-down execution days, others are spent almost entirely in stakeholder conversations and reviews.
- No two days look identical — some are heads-down execution days, others are spent almost entirely in stakeholder conversations and reviews.
- A typical day starts with reviewing open items from the previous shift, syncing with the immediate team, and prioritising the day's deliverables before diving into focused work blocks.
If you think you're a strong fit, go ahead and apply — we'd rather hear from you than miss you.
- **Location:** Bengaluru
- **CTC:** ₹25.0 - ₹29.7 LPA
- **Experience required:** 10-16 years
- **Education:** M.Sc. Data Science / MBA (Analytics) (preferred)
- **Job type:** Full-Time
- **Posted on:** 13-Jul-2026
**What you'll work on:**
- Applying Dashboarding in day-to-day work within the BIG DATA ENGINEERING function
- Applying Business Reporting in day-to-day work within the BIG DATA ENGINEERING function
- Applying SQL in day-to-day work within the BIG DATA ENGINEERING function
- Applying Data Cleaning & Wrangling in day-to-day work within the BIG DATA ENGINEERING function
- Applying Python/R Programming in day-to-day work within the BIG DATA ENGINEERING function
- Applying A/B Testing Basics in day-to-day work within the BIG DATA ENGINEERING function
- Applying Data Visualization (Power BI/Tableau) in day-to-day work within the BIG DATA ENGINEERING function
- Applying Statistical Analysis in day-to-day work within the BIG DATA ENGINEERING function
**What we're looking for:**
- Someone comfortable operating in a data analytics team turning raw numbers into decisions the business can act on
- Strong grip on the fundamentals of big data engineering
- Ability to work full-time out of Bengaluru
**A few more things:**
- The role blends planned, structured work with a fair share of ad-hoc problem solving as issues surface through the day.
- Mentorship is informal but consistent — senior team members actively coach newer hires on both skills and career direction.
- Feedback here is direct and frequent — managers expect you to speak up early rather than sit on a problem.
- Feedback here is direct and frequent — managers expect you to speak up early rather than sit on a problem.
- A typical day starts with reviewing open items from the previous shift, syncing with the immediate team, and prioritising the day's deliverables before diving into focused work blocks.
- No two days look identical — some are heads-down execution days, others are spent almost entirely in stakeholder conversations and reviews.
- A typical day starts with reviewing open items from the previous shift, syncing with the immediate team, and prioritising the day's deliverables before diving into focused work blocks.
- No two days look identical — some are heads-down execution days, others are spent almost entirely in stakeholder conversations and reviews.
- No two days look identical — some are heads-down execution days, others are spent almost entirely in stakeholder conversations and reviews.
- A typical day starts with reviewing open items from the previous shift, syncing with the immediate team, and prioritising the day's deliverables before diving into focused work blocks.
If you think you're a strong fit, go ahead and apply — we'd rather hear from you than miss you.