Python, Spark Scala Developer

Join a fast-paced engineering team where you’ll build and optimize data-driven solutions using Python, Apache Spark, and Scala. In this role, you’ll collaborate closely with data engineers, analysts, and platform teams to deliver reliable pipelines and scalable processing jobs that turn raw data into trusted insights. You’ll contribute across the development lifecycle—design, implementation, testing, deployment, and performance tuning—while learning from peers and sharing your own expertise. If you enjoy solving complex data challenges, improving runtime efficiency, and writing clean, maintainable code, this is a great opportunity to grow your impact in a collaborative, quality-focused environment.

Additional Responsibilities: • Bachelor’s degree in Computer Science, Engineering, or a related field.

• 2–5 years of hands-on experience building solutions with Python.

• 2–5 years of experience working with Apache Spark for large-scale data processing.

• 2–5 years of experience developing with Scala (or strong ability to work across Scala and Python codebases).

• Working knowledge of SQL for querying, validation, and troubleshooting datasets.

• Strong problem-solving skills and ability to collaborate effectively in a team environment.