Lead Business Analyst – BigData/Hadoop (3-6 yrs)

Urgent
Posted 4 months ago
India
Application deadline closed.

Job Description

Lead Business Analyst – BigData/Hadoop (3-6 yrs)

A Client of Analytics Vidhya

India

Job Responsibilities :

We are looking for Lead Business Analyst as a Big Data Solution Architect/Expert with :

– Identify project issues, communicate them and assist in their resolution.

– Perform offline/online analysis of large data sets using components from the Hadoop ecosystem.

– Involve in big data technologies and prototype solutions to improve our data processing and analytics architecture.

Values Based Competencies:

– Passionate about asking and answering questions through the use of large structured and unstructured data

– Integrity: Shows consistency between action and words on a consistent basis

– Performance: Demonstrates urgency in pursing goals, Puts in extra effort to achieve outcomes required, has a strong commitment to quality and accuracy

No. of Openings – 3

Qualification – Required Skillset :

– Exp Range -3 to 6 years of experience in Apache Hadoop eco system, Data analytics.

– Minimum 2 – 4 Years of experience on Big Data Platform especially on Apache… Spark.

– BE/B. Tech/MS in Computer Science or related area

– Programming language: Python, Java

– Experience in R is a Plus

– Candidate should be hands-on with Pig scripting, Hive queries and Apache Sqoop

– Candidate should be experience with Apache Spark

– Experience using Machine Learning Algorithms: Linear & Logistic Regression, Time Series analysis, Support Vector Machine, K-Means clustering, K-Nearest Neighbors, Decision Trees, Random Forest, Na- ve Bayes, PCA, SVD, Artificial Neural Networks, Association Rules, Genetic Algorithm, Optimization, Bagging and Boosting algorithms etc

– Strong analytical, problem solving and decision-making skills.

– Candidate must have implemented solutions based on NoSQL DB like HBase

– Excellent communication and decision making skills are essential.

– Strong analytical, problem solving and decision-making skills.

– Identify project issues, communicate them and assist in their resolution.

– Understanding for data, schema, data model, machine learning and how to bring efficiency in big data related life cycle

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