Lead Big Data Engineer

Are you ready to lead and build robust big data solutions at scale? We're looking for a Senior Big Data Engineer who thrives on architecting scalable data pipelines and mentoring teams in a fast-paced, innovation-driven environment.

Core Tech Stack:
Must-have: Spark, SQL, Scala/Java or PySpark
Cloud: Any major cloud platform (AWS/GCP/Azure)
Bonus: Hadoop, Airflow, Apache NiFi, Akka, ETL tools

What You’ll Do:
Design, develop, and optimize big data pipelines
Lead a team of engineers and guide development across products and modules
Participate in architectural discussions and propose scalable solutions
Troubleshoot live issues and ensure smooth data processing workflows
Collaborate across global teams and follow Agile methodologies

Ideal Background:
9–11 years of experience in Big Data Engineering
Hands-on team leadership experience
Strong coding skills in Scala, Java, or PySpark
Solid knowledge of distributed systems, data structures, and design patterns
Excellent communication and ownership mindset

Why Join Us:
Work with brilliant minds from top-tier product companies
Flat structure and strong culture of ownership
Health, life & accident insurance
Flexible work model
Exposure to domains like Health-tech, ESG, IoT, and AI