Senior Business Analyst

Discipline - Business Operations

Industry - Business Analysis

Job Description/Job Responsibilities :

- To be able to benchmark systems, analyze system bottlenecks and propose solutions to eliminate them

- To be able to clearly articulate pros and cons of various technologies and platforms

- To be able to document use cases, solutions and recommendations

- To have excellent written and verbal communication skills

- To be able to explain the work in plain language

- To be able to help program and project managers in the design, planning and governance of implementing projects of any kind

- To be able to perform detailed analysis of business problems and technical environments and use this in designing the solution

- To be able to work creatively and analytically in a problem-solving environment

- To be a self-starter

- To be able to work in teams, as a big data environment is developed in a team of employees with different disciplines

- To be able to work in a fast-paced agile development environment

No. of Openings - 0

Qualification/Required Skills :

Experience Range - At least- 4-5 years in Big Data & Hadoop technologies

- Big data solutions architect is responsible for managing the full life-cycle of a Hadoop solution

- Creating the requirements analysis, the platform selection, design of the technical architecture, design of the application design and development, testing, and deployment of the proposed solution

- Have experience with the major big data solutions like Hadoop, MapReduce, Hive, HBase, MarkLogic, MapR DB, Spark, Scala, Impala, Kafka, Oozie, Mahout, Flume, ZooKeeper and/or Sqoop, Streaming applications

- Have a firm understanding of major programming/scripting languages like Java, Linux, PHP, Ruby, Phyton and/or R

- Have experience in working with ETL tools such as Informatica, Talend and/or Pentaho

- Have experience in designing solutions for multiple large data warehouses with a good understanding of cluster and parallel architecture as well as high-scale or distributed RDBMS and/or knowledge on NoSQL platforms

- Have experience with one of the large cloud-computing infrastructure solutions like Amazon Web Services or Elastic MapReduce

- Should understand and have experience with data security and privacy concerns that could arise and that should be taken care of from the start

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