Join our team as a Custom Software Engineer, where you'll be instrumental in architecting and implementing bespoke software solutions. This role focuses on enhancing system components and applications through precise coding and development. You will leverage modern frameworks and agile methodologies to produce scalable, high-performance outcomes designed to meet specific business needs.

As a Custom Software Engineer, you will be expected to operate independently and become a subject matter expert. Active contributions to team discussions and problem-solving sessions are crucial. You will collaborate with stakeholders to define and analyze requirements for custom software, and maintain existing components for optimal performance and reliability. Additionally, you will document software designs and processes, and mentor junior team members.

- Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Collaborate with stakeholders to gather and analyze requirements for custom software development. - Maintain and improve existing software components to enhance performance and reliability. - Document software designs, processes, and updates to support knowledge sharing within the team. - Assist junior team members by providing guidance and support to foster their professional growth.

This role demands a minimum of 3 years of experience, specifically with Microsoft Azure Databricks. A strong foundation in cloud-based data processing and analytics platforms is essential. You should possess a deep understanding of distributed computing and big data technologies, with the ability to optimize data workflows for performance and scalability. Familiarity with scripting and automation for streamlining development tasks is also a key requirement.

- Minimum 3 years of experience required, with a focus on Microsoft Azure Databricks. - Proficiency in cloud-based data processing and analytics platforms. - Strong understanding of distributed computing and big data technologies. - Ability to optimize data workflows and pipelines for performance and scalability. - Familiarity with scripting and automation to streamline software development tasks.