Role Proficiency:

Act creatively to develop applications and select appropriate technical options optimizing application development maintenance and performance by employing design patterns and reusing proven solutions account for others' developmental activities

Outcomes:

     Interpret the application/feature/component design to develop the same in accordance with specifications.      Code debug test document and communicate product/component/feature development stages.      Validate results with user representatives; integrates and commissions the overall solution      Select appropriate technical options for development such as reusing improving or reconfiguration of existing components or creating own solutions      Optimises efficiency cost and quality.      Influence and improve customer satisfaction Set FAST goals for self/team; provide feedback to FAST goals of team members

Measures of Outcomes:

     Adherence to engineering process and standards (coding standards)      Adherence to project schedule / timelines      Number of technical issues uncovered during the execution of the project      Number of defects in the code      Number of defects post delivery      Number of non compliance issues On time completion of mandatory compliance trainings

Outputs Expected:

Code:

Code as per design Follow coding standards
templates and checklists Review code – for team and peers

Documentation:

Create/review templates
checklists
guidelines
standards for design/process/development Create/review deliverable documents. Design documentation
r and requirements
test cases/results

Configure:

Define and govern configuration management plan Ensure compliance from the team

Test:

Review and create unit test cases
scenarios and execution Review test plan created by testing team Provide clarifications to the testing team

Domain relevance:

Advise Software Developers on design and development of features and components with a deep understanding of the business problem being addressed for the client. Learn more about the customer domain identifying opportunities to provide valuable addition to customers Complete relevant domain certifications

Manage Project:

Manage delivery of modules and/or manage user stories

Manage Defects:

Perform defect RCA and mitigation Identify defect trends and take proactive measures to improve quality

Estimate:

Create and provide input for effort estimation for projects

Manage knowledge:

Consume and contribute to project related documents
share point
libraries and client universities Review the reusable documents created by the team

Release:

Execute and monitor release process

Design:

Contribute to creation of design (HLD
LLD
SAD)/architecture for Applications/Features/Business Components/Data Models

Interface with Customer:

Clarify requirements and provide guidance to development team Present design options to customers Conduct product demos

Manage Team:

Set FAST goals and provide feedback Understand aspirations of team members and provide guidance
opportunities
etc Ensure team is engaged in project

Certifications:

Take relevant domain/technology certification

Skill Examples:

     Explain and communicate the design / development to the customer      Perform and evaluate test results against product specifications      Break down complex problems into logical components      Develop user interfaces business software components      Use data models      Estimate time and effort required for developing / debugging features / components      Perform and evaluate test in the customer or target environment      Make quick decisions on technical/project related challenges      Manage a Team mentor and handle people related issues in team   Maintain high motivation levels and positive dynamics in the team.   Interface with other teams designers and other parallel practices   Set goals for self and team. Provide feedback to team members   Create and articulate impactful technical presentations   Follow high level of business etiquette in emails and other business communication   Drive conference calls with customers addressing customer questions    Proactively ask for and offer help   Ability to work under pressure determine dependencies risks facilitate planning; handling multiple tasks.   Build confidence with customers by meeting the deliverables on time with quality.   Estimate time and effort resources required for developing / debugging features / components   Make on appropriate utilization of Software / Hardware’s.   Strong analytical and problem-solving abilities

Knowledge Examples:

     Appropriate software programs / modules      Functional and technical designing      Programming languages – proficient in multiple skill clusters      DBMS      Operating Systems and software platforms      Software Development Life Cycle      Agile – Scrum or Kanban Methods      Integrated development environment (IDE)      Rapid application development (RAD)   Modelling technology and languages   Interface definition languages (IDL) Knowledge of customer domain and deep understanding of sub domain where problem is solved

Additional Comments:

Guidewire Data Developer- GW Data Developer and GW CDA Developer - Proven experience in data engineering, with a focus on data conversion and migration projects. Good to have guidewire prior experience - Proficiency in SQL and experience with relational databases. - Strong hands-on experience with Azure Data Factory and other Azure services like Data Bricks, Reading files from S3 bucket etc.). - Advanced programming skills in Python for data processing and automation. - In-depth knowledge of ELT processes and data integration techniques. - Experience with data modeling and database design. - Excellent problem-solving abilities and attention to detail. - Strong communication skills, with the ability to collaborate effectively across teams.• Design, develop, and maintain scalable data pipelines using AWS Glue, S3, and Spark architecture. • Implement data integration solutions to extract, transform, and load data from various sources into a centralized data lake. • Optimize data workflows to ensure efficient and reliable data processing. • Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and translate them into technical solutions. • Develop and maintain data models to support the organization's data architecture. • Monitor and troubleshoot data pipelines, ensuring data quality and integrity. • Stay up-to-date with the latest cloud technologies and trends to continuously improve data engineering processes."