Requirements:
- Bachelor’s degree in computer science, computer engineering, or related field.
- Experience working with ruby on rails as well as libraries like Resque and RSpec.
- Ability to write clean ruby code.
- Proficiency with code versioning tools including Git, Github, SVN, and Mercurial.
- Familiarity with MVC, Mocking, RESTful, and ORM.
- Good understanding of front-end technologies including HTML5, JavaScript, and CSS3.
- Knowledge of server-side templating languages including Slim and Liquid.
- Familiarity with testing tools.
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Core Competency:
• Extensiveexperiencewith C# and ASP.net/.NETCore 2.0 / .NET WebAPI core framework framework • concept's and fundamentals/ MVC and EF. • REST Web services&API Experience • Strong architectural knowledge with two or more of - MicroServices, 12 FactorApplications and • EventDriven architectures • Messaging knowledge(Topics, Queues & Publish Subscribe) • Knowledge of AWS, Docker and Kubernetes • Experience with database development including relational database design, SQL, and ORM • Agile Delivery experience • Deploying .Net Core web application/API in Windows and Linux • Experience with web developmenttechnologiesincludingASP.NET, MVC3, EF, HTML, JavaScript, • JQuery, AJAX and CSS, LINQ. • Experience with core Microsoft.Net technologies including WCF, LINQ, and EF • Experience designing and developing enterprise-grade software • Experience with source control management systems and deployment environment • Experience with debugging, performance profiling and optimization. • Comprehensive understanding of object-oriented and service-oriented applicationdevelopment,techniques and theories • Internally motivated, able to work proficiently both independently and in a team environment • Strong communication skills with both internal team members and external business stakeholders • Experience with user interface design and prototyping
· 4+ years of experience as a Python Developer.
· Good Understanding of Object-Oriented Concepts and Solid principles.
· Good Understanding in Programming and analytical skills.
· Should have hands on experience in AWS Cloud Service like S3, Lambda functions Knowledge. (Must Have)
· Should have experience Working with large datasets (Must Have)
· Proficient in using NumPy, Pandas. (Must Have)
· Should have hands on experience on Mysql (Must Have)
· Should have experience in debugging Python applications (Must have)
· Knowledge of working on Flask.
· Knowledge of object-relational mapping (ORM).
· Able to integrate multiple data sources and databases into one system
· Proficient understanding of code versioning tools such as Git, SVN
· Strong at problem-solving and logical abilities
· Sound knowledge of Front-end technologies like HTML5, CSS3, and JavaScript
· Strong commitment and desire to learn and grow.
We, the Products team at DataWeave, build data products that provide timely insights that are readily consumable and actionable, at scale. Our underpinnings are: scale, impact, engagement, and visibility. We help
businesses take data driven decisions everyday. We also give them insights for long term strategy. We are focused on creating value for our customers and help them succeed.
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! Read more on Become a DataWeaver
What do we offer?
- Opportunity to work on some of the most compelling data products that we are building for online retailers and brands.
- Ability to see the impact of your work and the value you are adding to our customers almost immediately.
- Opportunity to work on a variety of challenging problems and technologies 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, trainings, and tech conferences. Mentorship from seniors in the team.
- Last but not the least, competitive salary packages and fast paced growth opportunities.
Roles and Responsibilities:
● Build a low latency serving layer that powers DataWeave's Dashboards, Reports, and Analytics
functionality
● Build robust RESTful APIs that serve data and insights to DataWeave and other products
● Design user interaction workflows on our products and integrating them with data APIs
● Help stabilize and scale our existing systems. Help design the next generation systems.
● Scale our back end data and analytics pipeline to handle increasingly large amounts of data.
● Work closely with the Head of Products and UX designers to understand the product vision and design
philosophy
● Lead/be a part of all major tech decisions. Bring in best practices. Mentor younger team members and
interns.
● Constantly think scale, think automation. Measure everything. Optimize proactively.
● Be a tech thought leader. Add passion and vibrancy to the team. Push the envelope.
Skills and Requirements:
● 5-7 years of experience building and scaling APIs and web applications.
● Experience building and managing large scale data/analytics systems.
● Have a strong grasp of CS fundamentals and excellent problem solving abilities. Have a good understanding of software design principles and architectural best practices.
● Be passionate about writing code and have experience coding in multiple languages, including at least one scripting language, preferably Python.
● Be able to argue convincingly why feature X of language Y rocks/sucks, or why a certain design decision is right/wrong, and so on.
● Be a self-starter—someone who thrives in fast paced environments with minimal ‘management’.
● Have experience working with multiple storage and indexing technologies such as MySQL, Redis, MongoDB, Cassandra, Elastic.
● Good knowledge (including internals) of messaging systems such as Kafka and RabbitMQ.
● 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.
● Exposure to one or more centralized logging, monitoring, and instrumentation tools, such as Kibana, Graylog, StatsD, Datadog etc.
● Working knowledge of building websites and apps. Good understanding of integration complexities and dependencies.
● Working knowledge linux server administration as well as the AWS ecosystem is desirable.
● 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.