Role Proficiency:
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:
Interpret the application feature and component designs to develop the same in accordance with specifications. Code debug test document and communicate product component and feature development stages. Validate results with user representatives integrating and commissions the overall solution. Select and create appropriate technical options for development such as reusing improving or reconfiguration of existing components while creating own solutions for new contexts Optimises efficiency cost and quality. Influence and improve customer satisfaction Influence and improve employee engagement within the project teams Set FAST goals for self/team; provide feedback to FAST goals of team membersMeasures 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 Percent of voluntary attrition On time completion of mandatory compliance trainingsOutputs Expected:
Code:
Code as per the design Define coding standardstemplates and checklists Review code – for team and peers
Documentation:
checklists
guidelines
standards for design/process/development Create/review deliverable documents. Design documentation
requirements
test cases and results
Configure:
Test:
scenarios and execution Review test plan created by testing team Provide clarifications to the testing team
Domain relevance:
Manage Project:
Manage Defects:
Estimate:
Manage knowledge:
share point
libraries and client universities Review the reusable documents created by the team
Release:
Design:
LLD
SAD)/architecture for applications
features business components and data models
Interface with Customer:
Manage Team:
opportunities
etc Ensure team members are upskilled Ensure team is engaged in project Proactively identify attrition risks and work with BSE on retention measures
Certifications:
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 resources required for developing / debugging features / components Perform and evaluate test in the customer or target environments Make quick decisions on technical/project related challenges Manage a team mentor and handle people related issues in team Have the ability to maintain high motivation levels and positive dynamics within the team. Interface with other teams designers and other parallel practices Set goals for self and team. Provide feedback for 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 and answer 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 timely with a quality product. Estimate time and effort of resources required for developing / debugging features / componentsKnowledge Examples:
Appropriate software programs / modules Functional & 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) Broad knowledge of customer domain and deep knowledge of sub domain where problem is solvedAdditional Comments:
Highly skilled and experienced Senior Data Engineer to join our dynamic team. The ideal candidate will have a strong background in software development and data engineering.Certified engineers in GCP Data Engineering and Cloud Architecture. Key Responsibilities: Develop, optimize, and maintain scalable data pipelines and workflows. Design and implement solutions using cloud-based data warehouses such as GCP BigQuery, Snowflake, and Databricks. Collaborate with product and business teams to understand data requirements and deliver actionable insights. Work in an Agile environment, contributing to sprint planning, task prioritization, and iterative delivery. Write clean, maintainable, and efficient code . Knowledge in Python will be advantage. Ensure data security, integrity, and reliability across all systems. Required Qualifications: Strong background in data engineering, including ETL processes and data pipeline construction. Basics of RESTful APIs (GET, POST, PUT, DELETE methods). Knowledge of how APIs communicate and exchange data (JSON or XML formats). Skills in organizing and transforming data fetched from APIs using Python libraries like pandas and json. Understanding of how to avoid vulnerabilities when working with APIs, such as avoiding hardcoding sensitive information Using tools like Postman or Python libraries to test and debug API calls before integrating them into a system Familiarity with Python libraries for API interactions, such as requests, http.client, urllib, database connectors. Skills to handle API response errors and exceptions effectively Knowledge of common authentication methods like OAuth, API keys, or Basic Auth for securing API calls. Hands-on experience with cloud-based data warehouses like BigQuery, Snowflake, and Databricks. Proven ability to work in Agile frameworks and deliver high-quality results in fast-paced environments. Excellent communication skills to liaise effectively with product and business teams. Familiarity with data visualization tools is advantageous.