(352) FASTTEK | (352) 327-8835
FASTTEK GLOBALpowered by Fast Switch - Great Lakes
info@fasttek.com
(352) FASTTEK | (352) 327-8835
Chennai, Tamil Nadu
Software Engineer #1059019
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:
  • Python, React, Azure, AWS, Angular, GCP, Vue.js
 
Skills Preferred:
  • Dynatrace, AppDynamics, Java
 
Experience Required:
  • Engineer 3 Exp: Prac. In 2 coding lang. or adv. Prac. in 1 lang.
  • 6+ years in IT; 4+ years in development
 
Experience Preferred:
  • GCP Data Engineer, GCP Professional Cloud
Education Required:
  • Bachelor's Degree
 
Additional Information :
  • Design and Build Data Pipelines:
  • Architect, develop, and maintain scalable data pipelines and microservices that support real-time and batch processing on GCP.
  • Service-Oriented Architecture (SOA) and Microservices
  • Design and implement SOA and microservices-based architectures to ensure modular, flexible, and maintainable data solutions.
  • Full-Stack Integration
  • Leverage your full-stack expertise to contribute to the seamless integration of front-end and back-end components, ensuring robust data access and UI-driven data exploration.
  • Data Ingestion and Integration:
  • Lead the ingestion and integration of data from various sources into the data platform, ensuring data is standardized and optimized for analytics.
  • GCP Data Solutions
  • Utilize GCP services (BigQuery, Dataflow, Pub/Sub, Cloud Functions, etc.) to build and manage data platforms that meet business needs.
  • Data Governance and Security:
  • Implement and manage data governance, access controls, and security best practices while leveraging GCP's native row- and column-level security features.
  • Performance Optimization:Continuously monitor and improve the performance, scalability, and efficiency of data pipelines and storage solutions.
  • Collaboration and Best Practices:
  • Work closely with data architects, software engineers, and cross-functional teams to define best practices, design patterns, and frameworks for cloud data engineering.
  • Automation and Reliability:
  • Automate data platform processes to enhance reliability, reduce manual intervention, and improve operational efficiency.