IT|Software Engineering - Group 1 - Developer III - Software Engineering

Software Engineer Primary Skills: Design, build and maintain data processing pipelines. Define API's and micro services consumed by other applications/teams. Strong Python skills. Understanding on databases, data warehouses, data lakes. Good to have: Manage ETL and machine learning model deploy, monitor, maintain, and track model in production. Understand and Maintain ETL pipeline, tools and deploy and monitor jobs. Build, test and maintain tools, infrastructure to support Data science initiatives. Good communication and cross functional skills. Experience deploying machine learning models into production environment. Strong DevOps, Data Engineering skill and ML background. Knowledge of containerization and orchestration (such as Docker, Kubernetes). Experience with CI/CD. Experience with ML training/retraining, Model Registry, ML model performance measurement. Job Description: Expectations from this role: Independently develops error free code with high quality validation of applications, guides other developers and assists Lead 1 – Software Engineering. 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. Optimize efficiency, cost and quality by identifying opportunities for automation/process improvements and agile delivery models. 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. Typical performance measures: 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. Performance Areas: 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. 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. Manage and guarantee high levels of cohesion and quality. 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. Education/Experience Requirements: Graduate in Engineering or MCA/Equivalent with 3 years of Software Engineering experience. Graduate in Science/Commerce or BCA/Equivalent with 4 years of Software Engineering experience. Additional Skills: Python, Software Engineering, Database, API