We're looking for an Engineering Manager to lead a team of data engineers and analysts. The split is roughly 80% people management and 20% individual contribution, so you'll be hands-on enough to make strong technical calls while spending most of your time growing the team.
Responsibilities
- Lead and grow a team spanning data engineering and analytics
- Own mentoring, performance evaluation and career development
- Contribute directly to technical work (around 20% of your time)
- Shape technical direction across data pipelines and analytics
- Partner with cross-functional teams on data platform requirements
Requirements
- 6–8 years of experience, including meaningful leadership experience
- Experience managing both data engineers and analysts
- Solid hands-on expertise in PySpark, Airflow and AWS
- Working knowledge of Kafka (Flink is a plus, not mandatory)
- Demonstrable track record of mentoring and developing engineers
Good to know
A formal Engineering Manager title is not mandatory. Team Leads and SDE3s with substantial leadership experience are encouraged to apply.
We particularly welcome candidates from OTT, product companies, e-commerce and quick commerce, D2C and EdTech backgrounds. Experience operating in lean teams is highly valued.
Interview process
Intro call → Data team round (technical and cultural fit) → Founder round → Cross-functional panel → Final data team discussion
No assignment round.
What we evaluate
Leadership and mentoring capability, performance management and career development approach, cultural fit, and technical depth.
📌 Engineering Manager: Data & Analytics (Bengaluru)
🏢 Paribus Ai
📍 Bengaluru
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