Big Data Analytics Senior Developer

Key Responsibilities:

The right candidate will be expected to be a significant player in the project evolution & deployment shouldering the following responsibilities:

Contribute to full development life cycle, including: requirements analysis, functional design, technical design, programming, testing, documentation, implementation, and on-going technical support Analyse specifications and perform program/database design activities Translate business needs into effective technical solutions and documents Contribute and lead projects utilizing the Big data and Analytics landscape. Nurture talent and contribute towards knowledge development of team. Ability and willingness to learn newer tools and technologies in Big data arena and successfully deliver projects utilizing the same. Understanding the business requirement, designing ETL process and implement the data analysis framework. Responsible for infrastructure that provides insight from raw data and handles diverse sources of data seamlessly Work closely with our engineering team to integrate amazing innovations and algorithms into our production systems. Support business decisions with ad hoc analysis as needed. Create data catalog, data flow diagrams and interprets data results to business users Recognize, communicate & use interdependencies between components in and outside of the group in the new system.

Job Background/context:

At least 5 years of Application development experience through full lifecycle

Strong Software Development Lifecycle management experience.

Experience with Red Hat Linux and UNIX Bash Shell Scripting.

Mandatory to have strong PySpark and Hive skills. Good to have experience in No-SQL.

Core Java will be preferred; however knowledge of any OOP language is required.

Thorough knowledge and hands on experience in Hadoop, Hive, Sqoop and other technologies in Clouderas CDH distribution.

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