Trivandrum
1 day ago
Developer III - Software Engineering - Data Ops Analyst

Role Proficiency:

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:

Required SQL: Proficient in SQL with a strong ability to write and optimize complex queries to extract, manipulate, and analyze data from large and diverse datasets. JSON: Skilled in interpreting and writing JSON for data exchange and integration, with the ability to structure, validate, and troubleshoot JSON data used in APIs, configuration files, and data pipelines. API Tools (Postman): Competent in utilizing APIs through tools such as Postman, with the ability to construct, test, and debug API requests and responses for efficient integration and troubleshooting across applications. Cloud Platforms: Experienced with cloud platforms, particularly AWS, including hands-on use of Amazon Athena for querying large-scale datasets using SQL in a serverless environment. Databricks: Familiar with Databricks, including navigating notebooks, running queries, and collaborating on data workflows. Healthcare domain experience. Should be flexible to work during overlap hours up to 02:30 AM IST (5.30 PM to 02.30 AM) based on business requirements Preferred: Data Analysis: Demonstrated expertise in data analysis, with the ability to interpret and derive insights from complex datasets generated through SQL queries, identifying trends, anomalies, and actionable findings. Help Desk Support: Experienced in managing and resolving help desk tickets, providing timely technical support and issue resolution. Documentation: Skilled in clearly documenting standard operating procedures, technical processes, and data workflows to ensure knowledge transfer, maintainability, and team collaboration. FHIR Knowledge.

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