Discipline : Business Operations
Industry : Business Analysis
Job Description/Job Responsibilities :
We are looking for Lead Business Analyst as a Big Data Solution Architect/Expert
- 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.
Focus on Customers : Consistently meets or exceeds customer expectations, identifies or develops new processes to enhance customer outcomes
Business focus : Understanding of company's vision, mission and strategy to achieve long and short-term goals with customers by delivering flawless operational service delivery
No. of Openings : 1
Qualification/Required Skill set :
Exp Required : 6 to 12 years of experience in Apache Hadoop eco system, Data analytics, Spark-MLlib, H2O and Mahout to become part of our Analytics Team.
- Candidate should have a demonstrated understanding of Machine Learning algorithms.
- Candidates should be able to pick up one or more new frameworks in short notice as well as react to evolving technology landscape.
- BE/B. Tech/MS in Computer Science or related area
- Around 9 -12 years of Data Science experience
- Minimum 3 - 5 Years of experience on Big Data Platform especially on Apache Spark
- Programming language: Python, Java
- Experience in R is a Plus
- Candidate should be hands-on with Pig scripting, Hive queries and Apache Sqoop
- Candidate must have experience with Apache Spark
- Stream processing: Spark streaming and Apache Kafka
- Candidate must have implemented solutions based on NoSQL DB like HBase, MarkLogic etc..
- 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.
- Experience in designing scalable applications, performance tuning expertise is highly expected
- Cooperative and team focused attitude
- Understanding for data, schema, data model, machine learning and how to bring efficiency in big data related life cycle
- 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
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