Openings for Big Data Architects & Data Scientists

[Lakshman Kumar]

Hello All,

Sapient Hiring for below skills. Interested can send their profiles.

SKILL	CAREER STAGE	LOCATION
Akka, Scala, Hadoop	Manager/Specialist	Gurgaon/Bangalore
·  Experience in developing high scale software, preferably in financial domain. ·  Strong knowledge of object oriented and functional programing model ·  Strong hands-on knowledge of highly concurrent and resilient Actor model based platforms.   ·  Extremely strong in Java and Scala development with proven hands-on experience on        production grade projects   ·  Hands-on experience in developing Micro-Services based scalable platforms   ·  Hands-on experience in developing application in Akka with Remoting, persistence, streams and distributed            architectures with Akka and Kafka integration.   ·   Experience and deep knowledge on Lightbend reactive platform is desired, Akka, Lagom, Spark etc.   ·   Good DevOps experience and agile work experience is desired.   ·   Strong technical knowledge of BigData platform e.g. Spark and HBase.   ·   Ability to modularise work and distribute with-in team.   ·   Working knowledge of Elastic Search with ELK stack is preferred

SKILL	CAREER STAGE	LOCATION
Data Scientist	Manager/Specialist	Gurgaon/Bangalore
·  Specialist – Data Science will work within the Capital Markets / Commodities / Financial space to lead data      science engagements. ·  8+ year experience in consulting or product development with 4+ years in data science. · Ability to understand the business context, ask the right questions, articulate scope, approach and set right    expectations with stakeholders for data science projects. · Good understanding of applied statistics, such as probability distributions, measures of dispersion and    central tendency, hypothesis testing and statistical inferences. ·  4+ yrs. experience with machine learning algorithms, such as k-NN, Naive Bayes, SVM, Random Forest, Linear    Regression, ARIMA, Neural Nets, Deep learning, etc. ·  Experience with one or more data science toolkits, such as R, scikit-learn (Python), Matlab, Rapidminer, SAS,     etc. ·  Understanding of data visualization patterns. ·  Experience with one or more data visualization tool / library such as Tableau, R Shiny, Seaborn, etc. ·  Proficiency in SQL queries.                                                                                         ·  Nice to have knowledge of Big Data platforms like Hadoop: Hive, Pig, Spark  (good to have) etc. and NoSQL    DBs like MongoDB, Cassandra and HBase ·  Nice to have Exposure to traditional BI/data warehousing (optional).

Regards,

Lakshman