Software Engineer – Python & Apache Spark
Posted Updated
Summary
Builds and supports scalable data processing solutions as a software/data engineer, with day-to-day work centered on Python and Apache Spark (PySpark) in a hybrid pod model alongside distributed, cross-functional teams; a Java background is expected and Scala is a plus.
Software / Data Engineer
Job Description
We are looking for a Software / Data Engineer with strong Python development skills and hands-on Apache Spark (PySpark) experience to build and support scalable data processing solutions. You will work within a hybrid pod model, collaborating with cross-functional teams across multiple functions and locations.
Essential Skills
- Strong Python development experience.
- Hands-on experience with Apache Spark / PySpark.
- Current or previous professional experience with Java.
- Solid software engineering fundamentals, including coding standards, testing, and development best practices.
- Strong collaboration skills and the ability to work effectively in distributed, cross-functional teams.
Preferred Skills
- Experience with Scala.
- Experience working with distributed data processing and large-scale data platforms.
Additional Information
- Databricks experience is not required; strong Apache Spark expertise is the key requirement.
- Hybrid working environment with virtual, cross-functional collaboration.
