Job Description
**Senior Big Data Engineer** — Data Analytics / BIG DATA ENGINEERING (Mid-Level)
- **Location:** Delhi NCR (Gurugram)
- **CTC:** ₹12.3 - ₹15.1 LPA
- **Experience required:** 3-6 years
- **Education:** B.Sc. Statistics
- **Job type:** Full-Time
- **Posted on:** 05-Jul-2026
**What you'll work on:**
- Applying Data Cleaning & Wrangling 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 Python/R Programming 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 Visualization (Power BI/Tableau) 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 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 Delhi NCR (Gurugram)
**A few more things:**
- The team culture leans collaborative and fairly informal, with an emphasis on ownership over hierarchy.
- High performers in this role typically move into a broader or more senior position within 18-24 months.
- 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.
- Expect a mix of independent work and collaborative sessions, with regular check-ins to keep priorities aligned across the team.
- 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.
- Expect a mix of independent work and collaborative sessions, with regular check-ins to keep priorities aligned across the team.
- The environment rewards initiative; people who raise their hand for new challenges tend to grow fastest.
- The team culture leans collaborative and fairly informal, with an emphasis on ownership over hierarchy.
- 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.
- The company invests in upskilling through internal training, certifications support, and cross-team rotations for strong performers.
- No two days look identical — some are heads-down execution days, others are spent almost entirely in stakeholder conversations and reviews.
- The environment rewards initiative; people who raise their hand for new challenges tend to grow fastest.
- There's a clear internal growth path, with regular skip-level reviews and structured career conversations.
- The team culture leans collaborative and fairly informal, with an emphasis on ownership over hierarchy.
- Cross-functional collaboration is baked into how the team operates, so strong communication skills matter as much as technical ones.
- Feedback here is direct and frequent — managers expect you to speak up early rather than sit on a problem.
- This role is often a stepping stone into leadership tracks for candidates who show strong ownership early on.
- The environment rewards initiative; people who raise their hand for new challenges tend to grow fastest.
- Mentorship is informal but consistent — senior team members actively coach newer hires on both skills and career direction.
- Mentorship is informal but consistent — senior team members actively coach newer hires on both skills and career direction.
- Cross-functional collaboration is baked into how the team operates, so strong communication skills matter as much as technical ones.
Interested candidates who meet the above criteria are encouraged to apply.
- **Location:** Delhi NCR (Gurugram)
- **CTC:** ₹12.3 - ₹15.1 LPA
- **Experience required:** 3-6 years
- **Education:** B.Sc. Statistics
- **Job type:** Full-Time
- **Posted on:** 05-Jul-2026
**What you'll work on:**
- Applying Data Cleaning & Wrangling 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 Python/R Programming 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 Visualization (Power BI/Tableau) 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 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 Delhi NCR (Gurugram)
**A few more things:**
- The team culture leans collaborative and fairly informal, with an emphasis on ownership over hierarchy.
- High performers in this role typically move into a broader or more senior position within 18-24 months.
- 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.
- Expect a mix of independent work and collaborative sessions, with regular check-ins to keep priorities aligned across the team.
- 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.
- Expect a mix of independent work and collaborative sessions, with regular check-ins to keep priorities aligned across the team.
- The environment rewards initiative; people who raise their hand for new challenges tend to grow fastest.
- The team culture leans collaborative and fairly informal, with an emphasis on ownership over hierarchy.
- 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.
- The company invests in upskilling through internal training, certifications support, and cross-team rotations for strong performers.
- No two days look identical — some are heads-down execution days, others are spent almost entirely in stakeholder conversations and reviews.
- The environment rewards initiative; people who raise their hand for new challenges tend to grow fastest.
- There's a clear internal growth path, with regular skip-level reviews and structured career conversations.
- The team culture leans collaborative and fairly informal, with an emphasis on ownership over hierarchy.
- Cross-functional collaboration is baked into how the team operates, so strong communication skills matter as much as technical ones.
- Feedback here is direct and frequent — managers expect you to speak up early rather than sit on a problem.
- This role is often a stepping stone into leadership tracks for candidates who show strong ownership early on.
- The environment rewards initiative; people who raise their hand for new challenges tend to grow fastest.
- Mentorship is informal but consistent — senior team members actively coach newer hires on both skills and career direction.
- Mentorship is informal but consistent — senior team members actively coach newer hires on both skills and career direction.
- Cross-functional collaboration is baked into how the team operates, so strong communication skills matter as much as technical ones.
Interested candidates who meet the above criteria are encouraged to apply.