A Client of Analytics VidhyaMumbai INR 15 - 18 LPA Experience : 4 - 6 YRS. Openings: 1
Experience working with Cloud (AWS) operational infrastructure which includes cloud services like Elastic Load balancers, S3 storages, memory & physical instances, DNS servers, analytics, watch services & log monitoring services.
Data management skills with SQL, NoSQL & Big Data.Understanding of scaling and resilience technologies such as memcached, Redis, queuing etc.
Performance tuning & optimization of webservers like NGNX, apache, tomcat etc.
Strong experience in planning & maintenance of BigData technologies.
Strong grasp of deployment lifecycle management.(Requirement definition, systems architecture, technical design, development, test, product release, and live operation).
Working experience on high traffic services and highly scalable systems, multi-threaded design with a complete overview on applications, systems, Databases & Network.
Ability to code and script background maintenance jobs.
Ability to use a wide variety of open source technologies and tools
Experience testing and troubleshooting live services.
analytics, aws, bigdata, nosql, sql
Analytics VidhyaGurugram INR 1 - 2 LPA
What is the hiring process? Because, we got more than 1000 application, a simple process would not work anymore. So, there is a new format of selection: The first round will be technical skill assessment – and what could be more appropriate than our DataHack platform. This round would includSee More
A Client of Analytics VidhyaGurugram INR 0 - 1 LPA
The intern will be expected to work on the following Building a data pipe line of extracting data from multiple sources, and organize the data into a relational data warehouse. Build fact tables with measures and dimensions from granular data. Build Vizualizations on Tableau. SenSee More
A Client of Analytics VidhyaBengaluru INR 3 - 10 LPA
Job Responsibilities:•Design & build machine learning algorithms to solve business problems using different techniques like clustering, recommendation, classification.•Develop statistical or machine-assisted approaches to problems at massive scale.•Build models to solve business problems such asSee More