Chennai, Tamil Nadu
Software Engineer (1) - Established Senior Engineer #1055320
Job Description:
- Employees in this job function are responsible for designing, developing, testing and maintaining software applications and products to meet customer needs.
- They are involved in the entire software development lifecycle including designing software architecture, writing code, testing for quality and deploying the software to meet customer requirements.
- Full-stack software engineering roles, who can develop all components of software including user interface and server side also fall within this job function.
Key Responsibilities:
- Engage with customers to deeply understand their use-cases, pain points, and requirements, showcasing empathy and advocating for user-centric software solutions
- Solve complex problems by designing, developing, and delivering using various tools, languages, frameworks, methodologies (like agile) and technologies
- Assess the requirements of the software application or service and determine the most suitable technology stack, integration method, deployment strategy, etc.
- Create high-level software architecture designs that outline the overall structure, components, and interfaces of the application
- Collaborate with cross functional teams like product owners, designers, architects etc.
- Define and implement software test strategy, guidelines, policies and processes in line with organization vision, industry regulations and market best practices.
- Work on continuously improving performance and optimizing the application and implement new technologies to maximize development efficiency
- Familiar with programming practices, such as test-driven development, continuous integration, and continuous delivery
- Support security practices to safeguard user data including encryption and anonymization.
- Create user-friendly and interactive interfaces
- Develop and maintain back-end applications like APIs and microservices using server-side languages
- Evaluate and incorporate emerging technologies and capabilities to deliver their solutions, and are monitoring and participating in solutions for new stack layers, often involving industry collaboration
Skills Required:
- DB2, Big Query,, COBOL, Mainframe Systems, JCL
Experience Required:
- Senior Engineer Exp: Prac. In 2 coding lang. or adv. Prac. in 1 lang.; guides.
- 10+ years in IT; 8+ years in development
- Bachelor's Degree
Education Preferred:
- Bachelor's Degree
Additional Information :
- Develop and modify existing data pipelines on Mainframe (JCL, COBOL), IBM DataStage and BigQuery to integrate data into Enterprise Data Warehouse (GCP BQ) and production implementation.
- Prepare test plan and execution within EDW/Data Factory (end-to-end, from ingestion, to integration, to marts) to support use cases.
- Design and build production data engineering solutions to deliver reusable patterns using Google Cloud Platform (GCP) services: Big Query
- Collaborate with stakeholders and cross-functional teams to gather and define data requirements, ensuring alignment with business objectives.
- Design and implement batch, real-time streaming, scalable, and fault-tolerant solutions for data ingestion, processing, and storage.
- Perform necessary data mapping, impact analysis for changes, root cause analysis, data lineage activities, and document information flows.
- Develop and maintain documentation for data engineering processes, standards, and best practices, ensuring knowledge transfer and ease of system maintenance.
- Utilize monitoring and logging tools to proactively identify and address performance bottlenecks and system failures and provide production support by addressing production issues as per SLAs.
- Implement an enterprise data governance model and actively promote the concept of data - protection, sharing, reuse, quality, and standards to ensure the integrity and confidentiality of data.
- Work in an agile product team to deliver code frequently using Test Driven Development (TDD), continuous integration, and continuous deployment (CI/CD).
- Optimize data workflows for performance, reliability, and cost-effectiveness on the Mainframe and GCP infrastructure.
- Continuously enhance your FMCC domain knowledge, stay current on the latest data engineering practices, and contribute to the company's technical direction while maintaining a customer-centric approach.