Frontend Developer

Required Skills and Experience:

• 5 - 11 years of experience in front-end development, with a strong focus on React.js.
• Proven experience with React.js and related technologies (e.g., Redux, React Router, Hooks, Context API).
• Strong proficiency in JavaScript, HTML5, CSS3, and modern front-end build tools (e.g., Webpack, Babel, etc.).
• Hands-on experience with RESTful APIs, Server Sent Events, WebSocket's
• Hand’s on experience with web components, micro frontends
• Deep understanding of browser apis like history, intersection observer, event handling, virtual panes, drag and drop etc
• Ability to work on a complex and fast moving code base.
• Familiarity with TypeScript and its integration with React applications.
• Strong problem-solving skills and attention to detail.

Looking for candidates only with tier 1 colleges OR have a minimum 1yr of experience in a product-based company.

The primary role is a Frontend software engineer, designing and building user-friendly and intuitive applications
You will be involved and drive product & design discussions.

Desired Skills
● Minimum 1+ years of coding experience.
● Proficiency using modern web development technologies and techniques, including HTML5, CSS, JavaScript, etc.
● Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.
● Programming experience with at least one modern framework such as ReactJS or VueJs.
● A strong product design sense.
● Understand end user requirements, formulate use cases and come up with effective solutions.
● Good understanding of REST APIs and the web in general.
● Ability to build a feature from scratch & drive it to completion.
● Excellence in technical communication with peers and non-technical cohorts.
● Ability to learn and work independently and make decisions with minimal supervision

TAPPP is building the next-generation digital platform by leveraging cell-based architecture to integrate technologies like Artificial Intelligence, Rules, Workflows, Microservices, FaaS (Function as a Service), Micro-frontends, and Micro apps to create a highly extensible and cutting-edge technology platform that brings together sports fans with broadcasters, sports teams, and sportsbooks to create a marketplace for all aspects of sports and we are available across platforms via the Web, Mobile, Roku, and Tablets.

Building out this brand presents significant product and engineering challenges. At the center of solving those challenges is the TAPPP Product Engineering team which is responsible for the TAPPP product end to end.

TAPPP is led by a very able leadership team drawn from Industry leaders from companies like ESPN, Amazon, Blackhawk, Kargocard, Visa, and many others.

Who are we looking for:

A coding enthusiast who loves writing elegant code and developing software systems.

As a Roku developer, you will be a part of the core product development team that is responsible for building high-performant components of the TAPPP platform.

Your responsibility:

• You will be responsible for designing, coding, reviewing, testing, and bug-fixing different modules of the software product that needs to work seamlessly across different environments.
• Write production-quality code in Brightscript / Scenegraph.
• Write unit-test code for robustness, including edge cases, usability and general reliability.
• You will work in an Agile team, working on the TAPPP revolutionary platform. 
• Interface with other teams and/or third-party vendors to assist in the deployment of applications on Roku platforms.

Mandatory technical skills:

• At least 3 years of experience in developing apps for Roku devices.
• Strong knowledge of BrightScript, SceneGraph, and core scripting languages like JS.
• Experience with REST APIs interaction and a strong understanding of client-server architectures.
• Experience with Media Playback, streaming concepts, HLS, and manifests.

Other

Strong independent contributor.

Comfortable working in a start-up environment.

The position is based in Pune(India).

Invesco is seeking a skilled React.js Developer with a strong background in data analytics to join our team. The Engineer within the Enterprise Risk function will manage complex data engineering, analysis, and programming tasks in support of the execution of the Enterprise Risk and Internal Audit activities and projects as defined by the Enterprise Risk Analytics leadership team. The Engineer will manage and streamline data extraction, transformation, and load processes, design use cases, analyze data, and apply creativity and data science techniques to deliver effective and efficient solutions enabling greater risk intelligence and insights.

Key Responsibilities / Duties:

• Acquire, transform, and manage data supporting risk and control-related activities
• Design, build, and maintain data analytics and data science tools supporting individual tasks and projects.
• Maintain programming code, software packages, and databases to support ongoing analytics activities.
• Exercise judgment in determining the application of data analytics for business processes, including the identification and location of data sources.
• Actively discover data analytics capabilities within the firm and leverage such capabilities where possible.
• Introduce new data analytics-related tools and technologies to business partners and consumers.
• Support business partners, data analysts, consumers’ understanding of product logic and related system processes
• Share learnings and alternative techniques with other Engineers and Data Analysts.
• Perform other duties and special projects as assigned by the Enterprise Risk Analytics leadership team and other leaders across Enterprise Risk and Internal Audit.
• Actively contribute to developing a culture of innovation within the department and risk and control awareness throughout the organization.
• Keep Head of Data Science & Engineering and departmental leadership informed of activities.
  
  

Work Experience / Knowledge:

• Minimum 5 years of experience in data analysis, data management, software development or data-related risk management roles; previous experience in programming will be considered.
• Experience within the financial services sector preferred
  
  

Skills / Other Personal Attributes Required:

• Proactive problem solver with the ability to identify, design, and deliver solutions based on high level objectives and detailed requirements. Thoroughly identify and investigate issues and determine the appropriate course of action
• Excellent in code development supporting data analytics and visualization, preferably programming languages and libraries such as JavaScript, R, Python, NextUI, ReactUI, Shiny, Streamlit, Plotly and D3.js
• Excellent with data extraction, transformation, and load processes (ETL), structured query language (SQL), and database management. 
• Strong self-learner to continuously develop new technical capabilities to become more efficient and productive
• Experience using end user data analytics software such as Tableau, PowerBI, SAS, and Excel a plus
• Proficient with various disciplines of data science, such as machine learning, natural language processing and network science
• Experience with end-to-end implementation of web applications on AWS, including using services such as EC2, EKS, RDS, ALB, Route53 and Airflow a plus
• Self-starter and motivated; must be able to work without frequent direct supervision
• Proficient with Microsoft Office applications (Teams, Outlook, MS Word, Excel, PowerPoint etc.)
• Excellent analytical and problem-solving skills
• Strong project management and administrative skills
• Strong written and verbal communication skills (English)
• Results-oriented and comfortable as an individual contributor on specific assignments
• Ability to handle confidential information and communicate clearly with individuals at a wide range of levels on sensitive matters
• Demonstrated ability to work in a diverse, cross-functional, and international environment
• Adaptable and comfortable with changing environment
• Demonstrates high professional ethics
  
  

Formal Education:

• Bachelor’s degree in Information Systems, Computer Science, Computer Engineering, Mathematics, Statistics, Data Science, or Statistics preferred. Other technology or quantitative finance-related degrees considered depending upon relevant experience
• MBA, Master’s degree in Information Systems, Computer Science, Mathematics, Statistics, Data Science, or Finance a plus
  
  

License / Registration / Certification:

• Professional data science, analytics, business intelligence, visualization, and/or development designation (e.g., CAP, CBIP, or other relevant product-specific certificates) or actively pursuing the completion of such designation preferred
• Other certifications considered depending on domain and relevant experience
  
  

Working Conditions:

Potential for up to 10% domestic and international travel