Custom Software Engineer

Project Role : Custom Software Engineer Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs. Must have skills : Microsoft Azure Databricks Good to have skills : NA Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education

Summary:

As a Custom Software Engineer, a typical day involves designing and developing tailored software solutions that enhance various system components or applications. The role requires working within dynamic project environments, applying modern development methodologies to ensure the delivery of scalable and efficient software. Collaboration with cross-functional teams is a key aspect, focusing on continuous improvement and adapting solutions to meet evolving business requirements. The position demands a proactive approach to problem-solving and innovation, contributing to the overall success of software projects through thoughtful design and implementation.

Roles & Responsibilities:

• Expected to be an SME, collaborate and manage the team to perform.
• Responsible for team decisions.
• Engage with multiple teams and contribute on key decisions.
• Provide solutions to problems for their immediate team and across multiple teams.
• Lead efforts to identify and implement best practices within the team to improve software quality and delivery timelines.
• Mentor junior team members to support their professional growth and enhance team capabilities.
• Coordinate with stakeholders to align software development activities with business objectives and project goals.

Professional & Technical Skills:

• Must To Have Skills: Proficiency in Microsoft Azure Databricks.
• Experience with cloud-based data processing and analytics platforms.
• Strong knowledge 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 data operations.
• Understanding of data security and compliance considerations in cloud environments.