Senior AWS Python Developer / Pyspark Data Engineer

About this kind of role

What a Senior AWS Python Developer / Pyspark Data Engineer usually does. The employer's own details are in the listing.

Typically does: Designs, builds, and maintains data pipelines and applications using Amazon Web Services (AWS) and Python. This role involves developing and optimizing Spark jobs (PySpark) for large-scale data processing and analysis. Responsibilities often include data modeling, ETL (Extract, Transform, Load) processes, and ensuring data quality and reliability. Senior developers in this role may also mentor junior team members and contribute to architectural decisions.

Tools and skills: Proficiency in Python, PySpark, AWS services (such as S3, EC2, EMR, Lambda), SQL, and data warehousing concepts is generally required.

Good fit for: Individuals with strong analytical and problem-solving skills, a passion for data engineering, and experience working with cloud-based technologies typically thrive in this role.