Developer III - Software Engineering

Independently develops error free code with high quality validation of applications guides other developers and assists Lead 1 – Software Engineering

Outcomes:

     Understand and provide input to the application/feature/component designs; developing the same in accordance with user stories/requirements.      Code debug test document and communicate product/component/features at development stages.      Select appropriate technical options for development such as reusing improving or reconfiguration of existing components.      Optimise efficiency cost and quality by identifying opportunities for automation/process improvements and agile delivery models      Mentor Developer 1 – Software Engineering and Developer 2 – Software Engineering to effectively perform in their roles      Identify the problem patterns and improve the technical design of the application/system      Proactively identify issues/defects/flaws in module/requirement implementation       Assists Lead 1 – Software Engineering on Technical design. Review activities and begin demonstrating Lead 1 capabilities in making technical decisions

Measures of Outcomes:

     Adherence to engineering process and standards (coding standards)      Adherence to schedule / timelines      Adhere to SLAs where applicable      Number of defects post delivery      Number of non-compliance issues      Reduction of reoccurrence of known defects      Quick turnaround of production bugs      Meet the defined productivity standards for project      Number of reusable components created   Completion of applicable technical/domain certifications Completion of all mandatory training requirements

Outputs Expected:

Code:

Develop code independently for the above

Configure:

Implement and monitor configuration process

Test:

Create and review unit test cases
scenarios and execution

Domain relevance:

Develop features and components with good understanding of the business problem being addressed for the client

Manage Project:

Manage module level activities

Manage Defects:

Perform defect RCA and mitigation

Estimate:

Estimate time
effort
resource dependence for one's own work and others' work
including modules

Document:

Create documentation for own work as well as perform peer review of documentation of others' work

Manage knowledge:

Consume and contribute to project related documents
share point
libraries and client universities

Status Reporting:

Report status of tasks assigned Comply with project related reporting standards/process

Release:

Execute release process

Design:

LLD for multiple components

Mentoring:

Mentor juniors on the team Set FAST goals and provide feedback to FAST goals of mentees

Skill Examples:

Explain and communicate the design / development to the customer Perform and evaluate test results against product specifications Develop user interfaces business software components and embedded software components 5 Manage and guarantee high levels of cohesion and quality6 Use data models Estimate effort and resources required for developing / debugging features / components Perform and evaluate test in the customer or target environment Team Player Good written and verbal communication abilities Proactively ask for help and offer help

Knowledge Examples:

     Appropriate software programs / modules      Technical designing      Programming languages      DBMS      Operating Systems and software platforms      Integrated development environment (IDE)      Agile methods Knowledge of customer domain and sub domain where problem is solved

Additional Comments:

Job Description Summary: We are seeking a skilled Data Discovery & Classification Engineer to join our data management team. The ideal candidate will be responsible for identifying, classifying, and protecting sensitive data across the organization, ensuring compliance with data protection regulations and internal policies. Key Responsibilities: 1. Onboarding Data Sources: • Work with IT and data teams to integrate new data sources into the existing data management platform. (e.g., Teams, OneDrive, file storage, APIs). • Monitor data source health and connectivity; resolve any ingestion issues. • Automate inventory updates where possible using scripts or tools. • Create and maintain detailed documentation for each data source records, including metadata, data lineage, along with onboarding process. 2. Maintaining Inventory of Data Sources: • Maintain an up-to-date inventory of all data sources, ensuring each source is accurately cataloged and classified. • Regularly monitor data sources for changes or updates, ensuring the inventory reflects the current state of data assets. • Generate reports on the status and progress of data sources, highlighting any issues or areas for improvement. 3. Data Classification: • Create and maintain classification categories. • Apply appropriate tags and labels to data to facilitate easy retrieval and management. • Adjust classification rules based on changing business needs and policies. 4. Metrics and Reporting: • Develop dashboards and reports to track onboarding status, classification accuracy, and data inventory health. • Track key performance indicators (KPIs) such as: • Number of data sources onboarded • Percentage of classified vs. unclassified data 5. Automation and Process Improvement: • Identify opportunities to automate data onboarding and classification processes. • Create and maintain scripts to automate data extraction and classification. • Propose and implement improvements to data ingestion pipelines and workflows. Qualifications: • Bachelor’s degree in Computer Science, Information Technology, or a related field. • Proven experience as a Data Discovery & Classification Engineer or in a similar role. • Strong knowledge of data discovery and classification tools and technologies (e.g., Congruity 360, Microsoft Purview, Big ID etc.). • Excellent analytical and problem-solving skills. • Ability to work independently and as part of a team.