Custom Software Engineer

About the job

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: Snowflake Data Warehouse Good to have skills: Data Building Tool Minimum 12 year(s) of experience is required Educational Qualification: 15 years full-time education. Summary: As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure that application development aligns with business objectives, overseeing project timelines, and facilitating communication among stakeholders to drive successful outcomes. You will also engage in problem-solving activities, providing innovative solutions to enhance application performance and user experience, while mentoring junior team members to foster their professional growth. 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. - Expected to provide solutions to problems that apply across multiple teams. - Facilitate knowledge sharing sessions to enhance team capabilities. - Monitor project progress and ensure adherence to timelines and quality standards. Professional & Technical Skills: - Must To Have Skills: Proficiency in Snowflake Data Warehouse. - Strong understanding of data modeling and ETL processes. - Experience with cloud-based data solutions and architecture. - Familiarity with data governance and compliance standards. - Ability to troubleshoot and optimize data workflows.

Requirements

• Snowflake Data Warehouse
• data modeling
• ETL processes

Qualifications

• 15 years full-time education

Preferred Technologies

• Snowflake Data Warehouse
• data modeling
• ETL processes