Lead II - Software Engineering - Data Science

Act creatively to develop applications by selecting appropriate technical options optimizing application development maintenance and performance by employing design patterns and reusing proven solutions. Account for others developmental activities; assisting Project Manager in day to day project execution.

Outcomes:

1. Interpret the application feature and component designs to develop the same in accordance with specifications.
2. Code debug test document and communicate product component and feature development stages.
3. Validate results with user representatives integrating and commissions the overall solution.
4. Select and create appropriate technical options for development such as reusing improving or reconfiguration of existing components while creating own solutions for new contexts
5. Optimises efficiency cost and quality.
6. Influence and improve customer satisfaction
7. Influence and improve employee engagement within the project teams
8. Set FAST goals for self/team; provide feedback to FAST goals of team members

Measures of Outcomes:

1. Adherence to engineering process and standards (coding standards)
2. Adherence to project schedule / timelines
3. Number of technical issues uncovered during the execution of the project
4. Number of defects in the code
5. Number of defects post delivery
6. Number of non compliance issues
7. Percent of voluntary attrition
8. On time completion of mandatory compliance trainings

Outputs Expected:

Code:

1. Code as per the design
2. Define coding standards
   templates and checklists
3. Review code - for team and peers

Documentation:

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

Configure:

1. Define and govern configuration management plan
2. Ensure compliance from the team

Test:

1. Review/Create unit test cases
   scenarios and execution
2. Review test plan created by testing team
3. Provide clarifications to the testing team

Domain relevance:

1. Advise software developers on design and development of features and components with deeper understanding of the business problem being addressed for the client
2. Learn more about the customer domain and identify opportunities to provide value addition to customers
3. Complete relevant domain certifications

Manage Project:

1. Support Project Manager with inputs for the projects
2. Manage delivery of modules
3. Manage complex user stories

Manage Defects:

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

Estimate:

1. Create and provide input for effort and size estimation and plan resources for projects

Manage knowledge:

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

Release:

1. Execute and monitor release process

Design:

1. Contribute to creation of design (HLD
   LLD
   SAD)/architecture for applications
   features business components and data models

Interface with Customer:

1. Clarify requirements and provide guidance to Development Team
2. Present design options to customers
3. Conduct product demos
4. Work closely with customer architects for finalizing design

Manage Team:

1. Set FAST goals and provide feedback
2. Understand aspirations of the team members and provide guidance
   opportunities
   etc
3. Ensure team members are upskilled
4. Ensure team is engaged in project
5. Proactively identify attrition risks and work with BSE on retention measures

Certifications:

1. Obtain relevant domain and technology certifications

Skill Examples:

1. Explain and communicate the design / development to the customer
2. Perform and evaluate test results against product specifications
3. Break down complex problems into logical components
4. Develop user interfaces business software components
5. Use data models
6. Estimate time and effort resources required for developing / debugging features / components
7. Perform and evaluate test in the customer or target environments
8. Make quick decisions on technical/project related challenges
9. Manage a team mentor and handle people related issues in team
10. Have the ability to maintain high motivation levels and positive dynamics within the team.
11. Interface with other teams designers and other parallel practices
12. Set goals for self and team. Provide feedback for team members
13. Create and articulate impactful technical presentations
14. Follow high level of business etiquette in emails and other business communication
15. Drive conference calls with customers and answer customer questions
16. Proactively ask for and offer help
17. Ability to work under pressure determine dependencies risks facilitate planning handling multiple tasks.
18. Build confidence with customers by meeting the deliverables timely with a quality product.
19. Estimate time and effort of resources required for developing / debugging features / components

Knowledge Examples:

• Appropriate software programs / modules
  1. Functional & technical designing
  2. Programming languages - proficient in multiple skill clusters
  3. DBMS
  4. Operating Systems and software platforms
  5. Software Development Life Cycle
  6. Agile - Scrum or Kanban Methods
  7. Integrated development environment (IDE)
  8. Rapid application development (RAD)
  9. Modelling technology and languages
  10. Interface definition languages (IDL)
  11. Broad knowledge of customer domain and deep knowledge of sub domain where problem is solved
  
  

  3+ years of experience in data science, Machine language 5+ years experience in SQL, Python, Tableau, ETL 5+ years of experience in cron-tab, airflow or GCP Should be very strong in SQL Should have worked in data science customer projects ( And not just training projects) Preferred background: Retail/Ecommerce/Startup Scoping and Basic Requirements : -Collaborate with cross functional product and other analytics team to build measurement and experimentation readouts and analysis - Experience working in metrics measurement - this requires SQL, python, statistics, and data science experience - Should be able to build Tableau dashboard to visualize media measurement results of A/B tests - requires dashboarding experience - Build Tableau dashboards to understand historical patterns of media performance metrics across multiple dimensions - this will enable us to have benchmarks - Experience in data related process like Merge existing data, attribution data, member data and sales data to create unified view for easy data pulls and also serve as ML repository - this requires strong ETL experience and basic ML experience -Experience working with analytical tools like Hadoop and dashboard tool like Power BI Should be able to - Analyze and interpret data to identify trends and patterns Improve the data quality using machine learning techniques Evaluate advanced analytics tools and conduct data profiling Preprocess structured and unstructured data Develop predictive models Provide solutions to business challenges using data