Job Description
**Q: What is this role about?**
A: Our Data Science division is hiring a Data Integration Engineer to strengthen its Data Engineering function. It sits at the mid-level level.
**Q: What skills do I need?**
A: You should be comfortable with Model Evaluation & Deployment, SQL, Deep Learning Basics, A/B Testing, Feature Engineering, Data Visualization, Machine Learning Fundamentals. Most of these are picked up on the job, but a working familiarity helps.
**Q: What's the experience requirement?**
A: We're looking at 3-6 years, with B.Tech/BE (CS/IT) / Ph.D. (for senior research roles) as the typical educational background.
**Q: Where is this based, and what does it pay?**
A: The role is based in Noida and pays ₹13.2 - ₹19.7 LPA, structured as a Full-Time position.
**Q: What's the team and culture like?**
A: The team culture leans collaborative and fairly informal, with an emphasis on ownership over hierarchy. 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.
**Q: Is there room to grow?**
A: There's a clear internal growth path, with regular skip-level reviews and structured career conversations.
**Q: What does a typical day look like?**
A: Mornings are usually spent on planning and stand-ups, while the bulk of the afternoon goes into execution, coordination with stakeholders, and troubleshooting whatever comes up.
**Q: What benefits are included?**
A: The package includes group medical cover, performance-linked bonuses, and standard statutory benefits.
**Q: How do I apply?**
A: If you think you're a strong fit, go ahead and apply — we'd rather hear from you than miss you.
A: Our Data Science division is hiring a Data Integration Engineer to strengthen its Data Engineering function. It sits at the mid-level level.
**Q: What skills do I need?**
A: You should be comfortable with Model Evaluation & Deployment, SQL, Deep Learning Basics, A/B Testing, Feature Engineering, Data Visualization, Machine Learning Fundamentals. Most of these are picked up on the job, but a working familiarity helps.
**Q: What's the experience requirement?**
A: We're looking at 3-6 years, with B.Tech/BE (CS/IT) / Ph.D. (for senior research roles) as the typical educational background.
**Q: Where is this based, and what does it pay?**
A: The role is based in Noida and pays ₹13.2 - ₹19.7 LPA, structured as a Full-Time position.
**Q: What's the team and culture like?**
A: The team culture leans collaborative and fairly informal, with an emphasis on ownership over hierarchy. 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.
**Q: Is there room to grow?**
A: There's a clear internal growth path, with regular skip-level reviews and structured career conversations.
**Q: What does a typical day look like?**
A: Mornings are usually spent on planning and stand-ups, while the bulk of the afternoon goes into execution, coordination with stakeholders, and troubleshooting whatever comes up.
**Q: What benefits are included?**
A: The package includes group medical cover, performance-linked bonuses, and standard statutory benefits.
**Q: How do I apply?**
A: If you think you're a strong fit, go ahead and apply — we'd rather hear from you than miss you.