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Skills Required- Game Design, Unity 3D, undefined, Game development
Job Description :- Excellent knowledge of Unity, including experience with scripting, textures, animation, GUI styles, and user session management- Familiarity with level design and planning- Experience with game physics and particle systems- Experience with mobile and console game development- Experience optimizing memory and space usage for support of older hardware- Experience with 3D is a plus- Prior experience with a well-known mobile title or AAA titles are a significant asset- Ability to constantly learn and stay in touch with evolving game standards and development technologies- Strong understanding of object-oriented programming- Familiarity with current design and architectural patterns- Knack for writing clean, readable, and easily maintainable code- Experience implementing automated testing platforms and unit tests- Proficient knowledge of code versioning tools- Plus experience in game development
We are a fast-growing digital, cloud, and mobility services provider with a principal market being North
America. We are looking for talented database/SQL experts for the management and analytics of large
data in various enterprise projects.
Responsibilities
Translate business needs to technical specifications
Manage and maintain various database servers (backup, replicas, shards, jobs)
Develop and execute database queries and conduct analyses
Occasionally write scripts for ETL jobs.
Create tools to store data (e.g. OLAP cubes)
Develop and update technical documentation
Requirements
Proven experience as a database programmer and administrator
Background in data warehouse design (e.g. dimensional modeling) and data mining
Good understanding of SQL and NoSQL databases, online analytical processing (OLAP) and ETL
(Extract, transform, load) framework
Advance Knowledge of SQL queries, SQL Server Reporting Services (SSRS) and SQL Server
Integration Services (SSIS)
Familiarity with BI technologies (strong Tableu hands-on experience) is a plus
Analytical mind with a problem-solving aptitude
Yearly salary range: ₹4L - ₹8L + Profit share bonus (see below)
All employees will receive a proportional yearly profit share based on their salary. In total, 10% of WhyDonate’s profits will be paid out to employees.
Job Description
We are looking for a full-time remote MEAN-stack Developer with 3+ years of experience.
You will be working on new features and maintenance of the WhyDonate platform. Code quality and scalability are a must. Besides writing new code, you will be fixing bugs and monitoring any new errors that come in. You will be working in a fully remote team of 10+ people.
WhyDonate is a product-based company that has been live since 2013. WhyDonate is a fundraising platform that helps charities and individuals to collect donations online.
Hiring Process
- Introduction interview
- Technical interview
- Test assessment
Must-haves
- 4+ years of Software development experience
- 3+ years of experience with Angular 2+ (or similar framework)
- Experience with REST API's
- Good English language and communication skills
Nice to have
- Experience with back-end development (Node.js)
- Experience with DevOps and Cloud Hosting (Cloudflare, CI/CD)
- Experience with mobile development (React-Native)
- Worked on multiple publicly released web applications
- Knowledge of Elasticsearch
- Knowledge of Redis
- Knowledge of JavaScript testing frameworks
Responsibilities
- Feature development
- Monitoring and fixing bugs
- Uptime, performance and security
- Architecture
- Code quality
Seenit’s suite of apps enables the leading retailers around the world to transform their customer experience and build loyal relationships with their customers. The apps allow retailers to make use of their physical infrastructure and resources to deliver a truly omnichannel experience in today's rapidly changing world of shopping.
We would welcome someone to the team who:
- Loves to write “clean”, well designed code to solve complex problems
- Can design, develop and test the core product software to ensure strong optimization and functionality
- Is inclined to contribute in all phases of the development lifecycle and takes end to end ownership of the project
- Is excited to support others to succeed and shine in a collaborative team culture
Your application will require you to have:
- Just some previous projects to showcase, no need for CV immediately
You should work with us because:
- We’re a relaxed diverse group and don’t take ourselves too seriously
- We're creative and want to change the world while we're at it (yes we do!)
- Our products have an international audience and our partners are around the globe
- Team lunches are more frequent than team meetings
- We love to travel and will ask you to take time off to refresh
Since 1988 Quicken has been the top personal management software for millions of
consumers. We pioneered a radically easier and faster way for people to manage their
household finances. Since then we’ve continued to focus on delighting customers and
making the Quicken product and experience better than ever.
Job Title: Lead Software Engineer-Quicken Cloud Services
Department: Product Development
Job Summary:
Quicken is the #1 personal finance management software with a 30-year heritage of helping
millions of individuals and families stay on top of their finances. We are going through a
transformation, as we recently completed the divestiture from Intuit, with a renewed focus on
product improvement, growth, and customer satisfaction. We are working on a strategy to
deliver awesome personal finance experience to our customers across Windows, Mac, iOS,
Android, and web. This is an opportunity to work in a customer-driven company with a
collaborative team that values technical excellence, innovation and creativity, while being
good to each other and having fun!
We’re looking for an experienced software engineer to be a key contributor developing
cloud- based services that will drive the future of the business. You will join our small and
dynamic Cloud Services team, using the latest technology and tools to build high-quality,
cross-platform solutions that delight our customers. Come make an impact on the technical
future of Quicken!
Responsibilities:
• Lead Software Engineer is a technical hands-on role, with responsibilities ranging
from being at the vanguard of solving technical problems to venturing into
unchartered areas of technologies to solve complex problems.
• Directly responsible for consistently delivering scalable, production-ready backend/
server code in Java for Quicken Cloud Services, from design and development
to deployment, as a member of an Agile development team.
• Partner closely with a cross-functional team of key stakeholders (Engineers,
Architects, Product Managers, QA, Operations, and Business Partners) to
understand requirements, design and implement end- to-end solutions that meet
user needs as well as engineering/operational/business goals.
• Display a passion for high quality, continuous learning, and experimenting and
applying cutting-edge technology, software paradigms, and engineering process
improvements, while fostering this culture across the team.
Qualifications:
• 7 - 10 years of software engineering experience, including a successful track record
developing customer-facing SaaS/PaaS products.
• 3+ years working experience in core Java and Spring Framework, preferably with
Spring Cloud Netflix.
• 3+ years working experience within microservice architecture, specifically utilizing
REST services, XML, and JSON.
• Excellent programming discipline: data structures, complexity analysis, objectoriented
principles, design patterns, and unit testing.
• Experience with API development and integration with 3rd-party services is
preferred.
• Excellent understanding of O/R mapping concepts and tools (Hibernate, JPA).
• Fluent in Databases/SQL (MySQL experience preferred).
• Extensive experience in developing applications which are deployed in AWS. AWS
experience is a big plus.
• Team player with can-do attitude to independently own and drive projects.
• Strong experience working with an Agile development team with rapid iterations.
• Ability to work well with others in a geographically distributed team.
• Exceptional verbal and written communication skills.
• BS/MS in Computer Science/Engineering or equivalent
What we offer:
• Competitive salary and performance bonus
• Equity
• Amazing culture, strong believers in Autonomy/Mastery/Purpose
• Customer-driven, we make money by building the best products for our users. No
confusion about how to win – build amazing products!
• Ability to work with and manage incredible talent
• Highly recognizable brand in US
- Roles & Responsibilities -
* We are looking for full-stack/back-end developers.
* Our ideal candidate will be able to build applications from scratch and deliver
a complete project i.e. understand requirements, design architecture, write reusable code that follows basic coding standards, test, deploy and support/follow-up features.
* As a start-up, we are keen to work with people who are passionate about technology and who love the speed, chaos, and versatility of start-ups.
Skills and Qualifications -
* Team player with strong work ethic; Detail and deadline-oriented; Take ownership of tasks.
* Good with version control systems like Git.
* Professional understanding of CS fundamentals, data structures and algorithms.
* Knowledge of Python is preferred.
* Hands-on experience with front-end technologies - HTML5, CSS3, Bootstrap library & JavaScript/jQuery.
* Knowledge of Angular 2/ReactJs is a plus.
* Knowledge of Rest API is a plus.
Perks -
* Competetive compensation
* MaBook
* Friendly Leave Policy
- Create, maintain and automate datasets and insightful dashboards to track core metrics and extract business insights
- Analyze large-scale structured and unstructured data to identify business opportunities and optimize features for Analytics.
- 8+ years experience doing Business Intelligence and Analytics work
- B.Tech/M.Tech in a technical field (Computer Science, Math, Statistics)
- Strong knowledge in Data Design, Data Modelling, and Data Validation best practices
- Proficient in data visualization, Preferably SSRS & Power BI
- Fluency with writing advanced SQL code
- Experience with SQL Server Administration and best practices
- Possess BFSI, Fintech Domain Knowledge
- Excellent interpersonal, cross-functional, communication, writing, and presentation skills
- Comfortable working in a fast-paced environment with the ability to be a team player
- Possess excellent Project Management and superior Team Management skills
Will be developing mobile and web applications using latest technology. Should be good in analysing requirements and translate into applications. Good in understanding application flows.
Tech Skills –
Mobile technology – Hybrid (Ionic / Cordova / capacitor / flutter), Native (Android / iOS) – Expert level – Should have completed 2-3 full sized complex projects with server component, use of cloud services, use of device native capabilities like camera, accelerometer etc.
HTML, CSS, Bootstrap, Java script – Intermediate level - Good understanding of concepts and should be able to realize application screens based on the UI provided by designers.
MEAN (MongoDB, Express, Angular/React, Node.js) stack – Beginner level - Should have understanding of concepts, good with basics
DataWeave provides Retailers and Brands with “Competitive Intelligence as a Service” that enables them to take key decisions that impact their revenue. Powered by AI, we provide easily consumable and actionable competitive intelligence by aggregating and analyzing billions of publicly available data points on the Web to help businesses develop data-driven strategies and make smarter decisions.
Data Science@DataWeave
We the Data Science team at DataWeave (called Semantics internally) build the core machine learning backend and structured domain knowledge needed to deliver insights through our data products. Our underpinnings are: innovation, business awareness, long term thinking, and pushing the envelope. We are a fast paced labs within the org applying the latest research in Computer Vision, Natural Language Processing, and Deep Learning to hard problems in different domains.
How we work?
It's hard to tell what we love more, problems or solutions! Every day, we choose to address some of the hardest data problems that there are. We are in the business of making sense of messy public data on the web. At serious scale!
What do we offer?
- Some of the most challenging research problems in NLP and Computer Vision. Huge text and image datasets that you can play with!
- Ability to see the impact of your work and the value you're adding to our customers almost immediately.
- Opportunity to work on different problems and explore a wide variety of tools to figure out what really excites you.
- A culture of openness. Fun work environment. A flat hierarchy. Organization wide visibility. Flexible working hours.
- Learning opportunities with courses and tech conferences. Mentorship from seniors in the team.
- Last but not the least, competitive salary packages and fast paced growth opportunities.
Who are we looking for?
The ideal candidate is a strong software developer or a researcher with experience building and shipping production grade data science applications at scale. Such a candidate has keen interest in liaising with the business and product teams to understand a business problem, and translate that into a data science problem. You are also expected to develop capabilities that open up new business productization opportunities.
We are looking for someone with 6+ years of relevant experience working on problems in NLP or Computer Vision with a Master's degree (PhD preferred).
Key problem areas
- Preprocessing and feature extraction noisy and unstructured data -- both text as well as images.
- Keyphrase extraction, sequence labeling, entity relationship mining from texts in different domains.
- Document clustering, attribute tagging, data normalization, classification, summarization, sentiment analysis.
- Image based clustering and classification, segmentation, object detection, extracting text from images, generative models, recommender systems.
- Ensemble approaches for all the above problems using multiple text and image based techniques.
Relevant set of skills
- Have a strong grasp of concepts in computer science, probability and statistics, linear algebra, calculus, optimization, algorithms and complexity.
- Background in one or more of information retrieval, data mining, statistical techniques, natural language processing, and computer vision.
- Excellent coding skills on multiple programming languages with experience building production grade systems. Prior experience with Python is a bonus.
- Experience building and shipping machine learning models that solve real world engineering problems. Prior experience with deep learning is a bonus.
- Experience building robust clustering and classification models on unstructured data (text, images, etc). Experience working with Retail domain data is a bonus.
- Ability to process noisy and unstructured data to enrich it and extract meaningful relationships.
- Experience working with a variety of tools and libraries for machine learning and visualization, including numpy, matplotlib, scikit-learn, Keras, PyTorch, Tensorflow.
- Use the command line like a pro. Be proficient in Git and other essential software development tools.
- Working knowledge of large-scale computational models such as MapReduce and Spark is a bonus.
- Be a self-starter—someone who thrives in fast paced environments with minimal ‘management’.
- It's a huge bonus if you have some personal projects (including open source contributions) that you work on during your spare time. Show off some of your projects you have hosted on GitHub.
Role and responsibilities
- Understand the business problems we are solving. Build data science capability that align with our product strategy.
- Conduct research. Do experiments. Quickly build throw away prototypes to solve problems pertaining to the Retail domain.
- Build robust clustering and classification models in an iterative manner that can be used in production.
- Constantly think scale, think automation. Measure everything. Optimize proactively.
- Take end to end ownership of the projects you are working on. Work with minimal supervision.
- Help scale our delivery, customer success, and data quality teams with constant algorithmic improvements and automation.
- Take initiatives to build new capabilities. Develop business awareness. Explore productization opportunities.
- Be a tech thought leader. Add passion and vibrance to the team. Push the envelope. Be a mentor to junior members of the team.
- Stay on top of latest research in deep learning, NLP, Computer Vision, and other relevant areas.