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 : Databricks Unified Data Analytics Platform
Good to have skills : Microsoft Azure Data Services, Microsoft Azure Analytics Services
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, building, and configuring applications tailored to fulfill specific business processes and application needs. This role requires continuous engagement with evolving project requirements, ensuring that solutions align with organizational goals. The workday often includes collaborating with various stakeholders to understand application demands, iterating on designs, and implementing configurations that enhance operational efficiency. Attention to detail and adaptability are essential as the engineer navigates through complex application landscapes to deliver effective and reliable software solutions.
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 process improvements within the team to enhance productivity and quality.
- Mentor junior team members by providing guidance and support to foster their professional growth.
- Coordinate cross-functional communication to ensure alignment of project objectives and timely delivery.
Professional Technical Skills:
Must To Have Skills:
- Proficiency in Databricks Unified Data Analytics Platform.
- Good To Have Skills: Microsoft Azure Data Services, Microsoft Azure Analytics Services.
- Experience in designing scalable data pipelines and managing large datasets within cloud environments.
- Solid knowledge of data integration, transformation, and orchestration techniques.
- Ability to optimize performance and troubleshoot complex data workflows.
- Familiarity with collaborative development practices and version control systems.
- The candidate should have minimum 7.5 years of experience in Databricks Unified Data Analytics Platform.