As a Custom Software Engineer, you will be instrumental in designing, building, and configuring applications. Your focus will be on meeting specific business process and application requirements. This role involves deep engagement with project needs, effective collaboration, and ensuring developed solutions align perfectly with project objectives. You'll adapt to evolving project demands and contribute to the seamless integration of software within the broader system architecture.

- Independently perform tasks and develop expertise. - Actively contribute to team discussions and problem-solving. - Collaborate with cross-functional teams to gather and analyze application requirements. - Assist in troubleshooting and resolving software issues to ensure optimal application performance. - Document design specifications and application configurations. - Support and mentor junior team members.

Proficiency in PySpark is a must-have skill. You should have a strong understanding of distributed computing concepts and big data frameworks, with experience in developing scalable data processing pipelines. The ability to optimize PySpark jobs for performance and resource utilization is crucial. Familiarity with data transformation, cleansing, and aggregation techniques within PySpark, along with knowledge of integrating PySpark applications with various data storage systems, is also essential. A minimum of 3 years of experience is required.