Description :

Job Title : Lead Data Engineer (Java, Spark) Product Company

We are looking for an experienced Lead Data Engineer to drive large-scale data platform initiatives in a product-based environment. The ideal candidate will have strong hands-on expertise in Java and big data technologies, along with experience working in high-performance product engineering teams.

Key Responsibilities :

- Lead design and development of scalable data pipelines and distributed systems

- Build and optimize big data solutions using Spark (Scala/PySpark)

- Collaborate with product, analytics, and platform teams

- Drive architecture decisions and engineering best practices

- Mentor engineers and ensure high-quality code and delivery

- Improve performance, scalability, and reliability of data platforms

Required Skills :

- Strong programming expertise in Java

- Hands-on experience with Spark (Scala/PySpark)

- Experience with Hadoop ecosystem (Hive, HDFS)

- Solid understanding of distributed systems & data architecture

- Experience building production-grade data platforms

- Prior experience working in a product-based company is mandatory

Experience :

- 812 years in Data Engineering

Good to Have :

- Cloud exposure (AWS / GCP / Azure)

- Airflow or similar orchestration tools

- Microservices or platform engineering experience