
Role: Principal Software Engineer
We looking for a passionate Principle Engineer - Analytics to build data products that extract valuable business insights for efficiency and customer experience. This role will require managing, processing and analyzing large amounts of raw information and in scalable databases. This will also involve developing unique data structures and writing algorithms for the entirely new set of products. The candidate will be required to have critical thinking and problem-solving skills. The candidates must be experienced with software development with advanced algorithms and must be able to handle large volume of data. Exposure with statistics and machine learning algorithms is a big plus. The candidate should have some exposure to cloud environment, continuous integration and agile scrum processes.
Responsibilities:
• Lead projects both as a principal investigator and project manager, responsible for meeting project requirements on schedule
• Software Development that creates data driven intelligence in the products which deals with Big Data backends
• Exploratory analysis of the data to be able to come up with efficient data structures and algorithms for given requirements
• The system may or may not involve machine learning models and pipelines but will require advanced algorithm development
• Managing, data in large scale data stores (such as NoSQL DBs, time series DBs, Geospatial DBs etc.)
• Creating metrics and evaluation of algorithm for better accuracy and recall
• Ensuring efficient access and usage of data through the means of indexing, clustering etc.
• Collaborate with engineering and product development teams.
Requirements:
• Master’s or Bachelor’s degree in Engineering in one of these domains - Computer Science, Information Technology, Information Systems, or related field from top-tier school
• OR Master’s degree or higher in Statistics, Mathematics, with hands on background in software development.
• Experience of 8 to 10 year with product development, having done algorithmic work
• 5+ years of experience working with large data sets or do large scale quantitative analysis
• Understanding of SaaS based products and services.
• Strong algorithmic problem-solving skills
• Able to mentor and manage team and take responsibilities of team deadline.
Skill set required:
• In depth Knowledge Python programming languages
• Understanding of software architecture and software design
• Must have fully managed a project with a team
• Having worked with Agile project management practices
• Experience with data processing analytics and visualization tools in Python (such as pandas, matplotlib, Scipy, etc.)
• Strong understanding of SQL and querying to NoSQL database (eg. Mongo, Casandra, Redis

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Exp: 3+Yr
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Working Mode: Onsite
Primary Skill: Golang, GIT, RESTful APIs
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Go programming language, with a focus on performance and reliability.
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- Assess and score calls on various criteria, including but not limited to, professionalism, communication skills, adherence to scripts or protocols, problem-solving abilities, and compliance with company policies.
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- Root Cause Analysis:
- Identify recurring issues or trends in calls and collaborate with relevant departments (e.g., training, operations) to address and resolve
- Compliance and Policy Adherence:
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- Process Improvement:
- Propose improvements to call center processes, scripts, training materials, or policies based on insights gained from call evaluations.
- Training and Development Support:
- Assist in the development and delivery of training materials and programs for call center agents.
- Conduct refresher training sessions on specific skills or areas identified for improvement.
- Quality Assurance Metrics:
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- Minimum 2 years of experience as a Call Quality Analyst.
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- Strong analytical skills and attention to detail.
- Excellent communication skills, both written and verbal.
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- Knowledge of industry-specific regulations and compliance standards (if applicable).
We are looking to hire a talented and experienced Video Editor to join our Digital marketing agency. As a video editor, you will be responsible for assembling recorded film and video footage, applying artistic editing techniques and creating finished, broadcast-worthy projects that accurately reflect the vision of the production director. To ensure success as a video editor, you should have expert knowledge of modern video editing techniques, be able to visualize directorial concepts and work according to a strict time schedule. Ultimately, a top-notch video editor can perfectly translate a director's idea into a beautifully crafted film or video piece, worthy of broadcasting.
- Define and ensure visual and brand consistency
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- Strong working knowledge of Adobe Creative Suite/Photoshop
- Ability to take a product concept from wireframe to high fidelity design mocks
- Understand the visual and the functional aspects of Web/Mobile design
- Understanding of newest tools and trends in UI/UX
- Creative problem-solving skill
- should be familiar with in addition to Photoshop: Balsamiq, Invision, Sketch, and Zeplin.
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- You are comfortable working in a high-pressure environment and are able to adapt to the needs of the day.
- You are open-minded and curious to learn
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- See a project through from conception to finished product
- Strong organizational skills. You should not need someone to “manage” you
- Excellent verbal communication skills
- Good problem-solving skills
- Attention to detail
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- Able to research and use cutting edge tools to deliver seamless experiences for users
We expect you to have some exposure to the following technologies
- HTML5, CSS, SASS, JS
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- Front-end frameworks (React/Angular/Vue)
- Git
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- 5+ years of relevant work experience
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- Experience with Agile or Scrum software development methodologies
- Ability to multi-task, organize, and prioritize work
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- Experts in multiple technologies such as Modern Java Script framework (preferably Angular 2 and above), Plain old Vanilla Java Script, MVC, jQuery, Web API, Node.JS, AWS, HTML, CSS etc. across software engineering, security, data interchange, data management (No Sql and Relational Database) etc.
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