PythonAbout Us
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.
Products@DataWeave
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
focussed 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.
Role 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 vibrance to the team. Push the envelope.
Skills and Requirements
● 4-7 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.
Subodh Popalwar
Software Engineer, Memorres
About Dataweave Pvt Ltd
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Software Engineer, Memorres