Data Engineer

Job Type:

Location:

  • Develop big data solutions for near real-time stream processing, as well as batch processing on the BigData platform.

  • Analyze problems and engineer highly flexible solutions.

  • Experience in setting up and running BigData development Frameworks like Hive, Sqoop, Streaming mechanisms, Pig, Mahout, Scala, SPARK and others.

  • Work with business domain experts, data scientists and application developers to identify data      relevant for analysis and develop the Big Data solution.

  • Coordinate effectively with team members in the project and with business partners.

  • Adapt and learn new technologies surrounding BigData eco systems.

  • Take initiative to run the project and gel in the start-up environment.

Job Description

  • Python / ROR / NodeJS.

  • NOSQL databases e.g. Hbase, Cassandra, MongoDB. Relevant AWS or Azure components required to build big data solutions.

  • Ability to develop and manage scalable Bigdata cluster environments.

  • Good understanding of data warehousing concepts, distributed systems, data pipelines, ETL.

  • Available for remote work.

Job Requirement

Work Timezone:

Data Engineer

  • Develop big data solutions for near real-time stream processing, as well as batch processing on the BigData platform.

  • Analyze problems and engineer highly flexible solutions.

  • Experience in setting up and running BigData development Frameworks like Hive, Sqoop, Streaming mechanisms, Pig, Mahout, Scala, SPARK and others.

  • Work with business domain experts, data scientists and application developers to identify data      relevant for analysis and develop the Big Data solution.

  • Coordinate effectively with team members in the project and with business partners.

  • Adapt and learn new technologies surrounding BigData eco systems.

  • Take initiative to run the project and gel in the start-up environment.

Job Description

  • Python / ROR / NodeJS.

  • NOSQL databases e.g. Hbase, Cassandra, MongoDB. Relevant AWS or Azure components required to build big data solutions.

  • Ability to develop and manage scalable Bigdata cluster environments.

  • Good understanding of data warehousing concepts, distributed systems, data pipelines, ETL.

  • Available for remote work.

Job Requirement

Language Requirement:

English

Work Timezone:

GMT +5.30

Location:

Global

Job Type:

Full time

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