Job Description
**Big Data Platform Director** — Data Analytics / BIG DATA ENGINEERING (Senior)
- **Location:** Mumbai
- **CTC:** ₹25.6 - ₹30.1 LPA
- **Experience required:** 8-14 years
- **Education:** MBA (Analytics) / B.Sc. Statistics (preferred)
- **Job type:** Contract
- **Posted on:** 12-Jul-2026
**What you'll work on:**
- Applying Python/R Programming 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
- Applying Excel (Advanced) 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 Business Reporting in day-to-day work within the BIG DATA ENGINEERING function
- Applying Dashboarding 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 A/B Testing Basics 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
**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 contract out of Mumbai
**A few more things:**
- 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.
- The role blends planned, structured work with a fair share of ad-hoc problem solving as issues surface through the day.
- 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.
- Mentorship is informal but consistent — senior team members actively coach newer hires on both skills and career direction.
- There's a clear internal growth path, with regular skip-level reviews and structured career conversations.
- The company invests in upskilling through internal training, certifications support, and cross-team rotations for strong performers.
- The pace can be demanding during peak cycles, balanced by a genuinely supportive team that helps each other hit deadlines.
- No two days look identical — some are heads-down execution days, others are spent almost entirely in stakeholder conversations and reviews.
We review applications on a rolling basis, so early applications are encouraged.
- **Location:** Mumbai
- **CTC:** ₹25.6 - ₹30.1 LPA
- **Experience required:** 8-14 years
- **Education:** MBA (Analytics) / B.Sc. Statistics (preferred)
- **Job type:** Contract
- **Posted on:** 12-Jul-2026
**What you'll work on:**
- Applying Python/R Programming 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
- Applying Excel (Advanced) 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 Business Reporting in day-to-day work within the BIG DATA ENGINEERING function
- Applying Dashboarding 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 A/B Testing Basics 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
**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 contract out of Mumbai
**A few more things:**
- 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.
- The role blends planned, structured work with a fair share of ad-hoc problem solving as issues surface through the day.
- 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.
- Mentorship is informal but consistent — senior team members actively coach newer hires on both skills and career direction.
- There's a clear internal growth path, with regular skip-level reviews and structured career conversations.
- The company invests in upskilling through internal training, certifications support, and cross-team rotations for strong performers.
- The pace can be demanding during peak cycles, balanced by a genuinely supportive team that helps each other hit deadlines.
- No two days look identical — some are heads-down execution days, others are spent almost entirely in stakeholder conversations and reviews.
We review applications on a rolling basis, so early applications are encouraged.