Network Engineer

We are seeking a talented and passionate Data Scientist to join our dynamic team. The ideal candidate will leverage their expertise in statistical analysis, machine learning, and data visualization to extract actionable insights from complex datasets. You will play a key role in developing and deploying predictive models, contributing to strategic business decisions, and driving innovation through data.

Responsibilities:

• Data Analysis and Exploration:
• Collect, clean, and preprocess large datasets from various sources.
• Conduct exploratory data analysis to identify patterns, trends, and anomalies.
• Visualize data using appropriate tools and techniques to communicate findings effectively.
• Machine Learning and Modeling:
• Develop and implement machine learning models for predictive analytics, classification, regression, and clustering.
• Evaluate model performance and optimize algorithms for accuracy and efficiency.
• Stay up-to-date with the latest advancements in machine learning and artificial intelligence.
• Statistical Analysis:
• Perform statistical hypothesis testing and A/B testing to validate findings.
• Apply statistical methods to analyze data and draw meaningful conclusions.
• Develop statistical models to forecast future trends and outcomes.
• Data Visualization and Reporting:
• Create compelling visualizations and dashboards to present data insights to stakeholders.
• Prepare clear and concise reports summarizing findings and recommendations.
• Effectively communicate complex data concepts to non-technical audiences.
• Collaboration and Communication:
• Collaborate with cross-functional teams, including engineers, product managers, and business analysts.
• Present findings and recommendations to stakeholders at all levels of the organization.
• Contribute to the development of data-driven strategies and initiatives.

Roles and Responsibility

Create exciting information visualizations enabling the user to instantly understand the data in the right context, spot patterns, trends and relations in a self-service manner. · Collaborate with designers, developers, and external project partners to ensure designs are implemented as effective user experiences. · Participate in, and integrate feedback from user research. · Define and design use cases, workflows and storyboards describing how the user would interact with easy-to-use, data visualization apps. · Identify all elements of interaction and navigation, and lay them out within a screen so they direct the user without confusion or error. · Create consumer grade usable designs using wireframes and prototypes. · Present your designs in team design reviews as well as to the extended group of internal stakeholders. · Participate in iterative design, testing and development sprint cycles to refine the overall product. · Support marketing activities (e.g. collateral development) around the successful launch of emerging solutions on multiple platforms

• 2-5 years of experience in the Android ecosystem
• knowledge UPI based apps
• Payment Gatway 
• Solid understanding of Android SDK and Android architecture
• Strong OOPs fundamentals, Java, XML, JSON, Web Services, SQLite databases
• Proficient with developing optimized UI for different android versions and devices
• You should have released a few apps on the play store or at least have a working prototype of something which you are proud of
• You love to write beautiful code
• Strong analytical and troubleshooting skills
• You are resourceful, innovative, and inventive
• You have experience writing unit tests
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Summary of the role: 

As an Analytics Engineer, you will work closely with internal team members to implement Adobe Analytics/Google Analytics on clients’ websites. In this role, you will use front-end technologies such as HTML, CSS, JavaScript, jQuery to support the development and implementation of web analytics tracking. You will also set up and maintain successful Adobe Analytics/Google Analytics deployments and identify and solve complex and interesting tracking problems. Using JavaScript/jQuery, you will design analytics solutions by understanding the client’s business and online marketing goals, gathering requirements, defining project scope, and providing technical guidance.

Qualification:

• Bachelor’s degree from an accredited university
• Strong technical aptitude and expertise with JavaScript, HTML,CSS
• Expertise in Adobe DTM/Adobe Launch and Adobe Analytics implementation through other tag management solutions

Experience:

• 3+ years of relevant experience in Adobe Analytics implementation using DTM/Adobe Launch
• Web Development experience is a plus as it relates to the development, configuration and implementation of Web Analytics solutions
• Experience with other web platforms like Google Analytics, Tealium, Tealeaf, etc. is a plus

Responsibilities:

• Understand client business requirements and how to map those requirements to specific digital measurement tactics
• Development of documentation, deliverables and solutions requirements for web analytics tracking
• Work closely with account management and development teams to oversee the implementation, configuration and debugging of web analytics code, both on-site and through tag management systems
• Support digital marketing teams (paid search, SEO, conversion rate optimization, digital media, etc.) to implement customized tracking for campaign initiatives

Key Skills:

• Strong understanding of web analytics implementation tools - Adobe Analytics Implementation Experience
• Ability to use Adobe DTM/Adobe Launch to implement changes suggested by web analytics team
• Hands on experience in writing DTM rules and troubleshooting the existing implementations
• Expert-level knowledge in Adobe DTM/ Adobe Launch and Adobe Analytics is a must
• Knowledge and experience in Google Analytics/Google Tag Manager or other web analytics platforms is a plus
• Knowledge of web development technologies - JavaScript, HTML, CSS etc.
• Experience in producing technical specifications, solution design reference documents, reference manuals, developer guides, and/or code requirements
• Excellent ability to read and debug HTML, JavaScript to successfully test tags
• Presents results in a manner that the business partners can understand, ensuring interpretation, appropriate detail and usability
• Excellent written skills and the ability to write for both technical and non-technical users
• Willingness to travel for client discoveries and other off-site meetings
• Experience with developing analytics testing processes
• Ability to effectively communicate with clients and colleagues at all levels

• Involved in entire SDLC lifecycle including analysis, development, fixing and monitoring of issues on the assigned product lines.
• Meets and exceeds standards for the quality and timeliness of the work products.
• Implements, unit tests, debugs and leads integrations of complex code.
• Identify opportunities for further enhancements and refinements to best practices, standards and processes.
• Ensure robust, securely accessible, highly available and highly scalable product that meets or exceeds customer and end-user expectations

Experience

Technical Duties & Responsibilities

3 – 6 Years

With 2-4 years of experience in Scalable Architecture development. We are looking for Independent Contributors, who have good understanding of Microservices based architecture, and a comprehensive awareness of various architectures & their suitability as per product requirements: -

• Can solve problems independently, be responsible for the requirement analysis and design implementation of important business modules, and be familiar with the online deployment environment, able to independently analyse and quickly troubleshoot online faults.

• Familiar with JAVA programming principles, understand their advanced features and class libraries, network and server programming, multi-threaded programming, common open source products
• Experience in SOA EIP using Apache Camel Spring Integration

• High quality coding ability, reusability, low coupling, scalability, high performance, maintainability, high security

• Have the architectural design capabilities of modules and subsystems, master common architectural design methods and patterns

• Understand SOA, event-driven, distributed system principles, large-scale network application structure, message middleware, caching, load balancing, clustering technology, data synchronization, NoSQL

• Have the project experience of RabbitMQ or Kafka

• If the candidate has air fare industry experience, might be priority