We have grown into a healthy mix of industry experience and youthful enthusiasm.
Everyone looks up or around to be inspired or infect others with their visions and dreams, Quovantis has Quants who're not only impressive with their portfolio but awesome by nature. Take a peep at company's or our LinkedIn page.
'9 to 6' is passe, our foundation is based on engineers who work unbounded. In an agile manner, by taking the ownership. So we have flexible working policies which enable us to have a better work-life integration.
"All work and no fun makes Jack a dull boy", we believe in that motto - Quants work hard and have fun harder. We have a picture attached below to give an idea, else visit our Twitter handle or Facebook page to get a better glimpse.
Acknowledgement comes in form of pats, kudos or bravado but we increase that exponentially with our quarterly awards like sprint champions, appreciation and achievement awards. We also have our yearly roast awards called "mujhe Quo(n) diye yeh award" (why was I given this award?).
We believe in solving hard problems and innovate collaboratively. Thus, once a month we gather around as a company, divide ourselves in groups and get to work on interesting problems. The team with the most innovative solution gets the bragging rights for the month.
We believe that 'learning never stops', so we have created an unstructured knowledge sharing platform called 'Ignite'; where anyone can share their knowledge or wisdom on something new or on work/project or just another fun point view on life.
Hop on, come and visit us.
Away from metro station
Away from international airport
Away from bus stop
We're looking for superheroes.
But, you can still share your awesome profile with us and we would call you, if a relevant position opens up.
Big Data Engineers
Be on the leading edge of applying machine learning and data modeling to the world of advanced cyber security. As part of the product development team, you will directly impact the product by developing core algorithms to model complex problems.
Specific responsibilities include:
Development and testing of efficient data processing algorithms in a collaborative team environment
Big Data analytics application development using Kafka, Spark, Cassandra, etc.
Build data pipelines to handle billions of events using Kafka, Spark streaming and Spark batch processing
Incorporate cutting-edge Machine Learning Algorithms to the data pipeline
Provide real-time streaming and querying capability on a large volume of data
Strong CS fundamentals, including good working knowledge of classic algorithms and data structures
Experience with Big Data Analytics: stream processing, batch processing optimization.
"Hands-on" with Big Data technologies like Spark, Kafka, Cassandra etc.
At least four years experience in designing and implementing software systems using Python
Passionate about learning new technologies and solving hard problems
Desired Education and Knowledge:
BTech/MTech in Computer Science, Mathematics or related discipline from one of the premier institutes like IIT, BITS, NSIT, NIT etc
Familiarity with a variety of machine learning and statistical methods
Experience with developing and deploying on AWS.