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Big Data Consultant

Big data consultant is responsible for building and maintaining the data architecture of data science implementation. Big Data consultants ensure uninterrupted flow of data between servers with their applications. Their contribution in data engineeringspace will include improving data foundational procedures, integrating new data management technologies and softwares into the existing system, building data collection pipelines, among various other things. Big Data Consultant's primary job description involves the following:

Responsibilities

  • Participate in professional systems analysis projects and work initiatives..
  • Review and Analysis of functional requirements for identification of data sources and target systems.
  • Develop technical specifications for the development and enhancement of data load processes.
  • Development of Hadoop Processes using relevant tools such as Sqoop, Spark, Scala, Kafka, and others.
  • Manage data extraction jobs, and build new data pipelines from various sources into Hadoop and validating the code, implementation and deploying in different environments (DEV, SIT, UAT and Production)
  • Work on performance tuning activities related to Spark based code.
  • Assist with defect determination and resolution, unit and integration testing.
  • Assist in end user UAT cycles and production support to business users..
  • Ensure standards and best practices used in the code development are followed, documented and maintained..
  • Participate to evaluate new frameworks and technologies.

Requirements

  • Minimum of Bachelor Science degree in computer science, software engineering, or a related field with relevant experince is a must..
  • 7 years of experience with 5 years of hands on analytics experience using structured and unstructured data to solve business problems..
  • 5 years of experience deploying large analytics initiatives/ programs across industry verticals is a must.
  • Strong experience in consultative or large scale analytics project delivery.
  • Good understanding and knowledge of statistics, Numerical or analytical methods and big data technologies (Hadoop).
  • Minimum 1 year of experience Developing REST web services
  • Data Science and Analytics (Machine Learning, Analytical Models, etc.)
  • Data Visualization