• 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

• 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