Apache Pig Jobs in Manchester

North West based so relocation a possibility for exceptional Hadoop MapReduce Software Engineers... 5 Reasons why a terrific Hadoop MapReduce Software Engineer will love working here! Freedom and autonomy Brand new project for Hadoop MapReduce Big Data Framework Largest. Big Data / Personalisation... for excellent Hadoop Software Engineer... Big Data (Hadoop...

SQL/SAS/R/MapReduce/Pig/Hive/Splunk/Hadoop. A new social media site are looking to move into the area of analytics of user data... What they will be looking to do in a month's time, once thier user base has expanded, is to use cutting edge analytics solutions...

We would like to hire two experienced Hadoop Developers as part of an ambitious, well backed Big Data Analytics Project . These are rare opportunities for creative and gifted Hadoop Software Developers to work on such a highly visible project for a recognised online pioneer and dominant market leader . Working exclusively...

Successful candidates will have experience in large-scale, distributed systems to help leverage Hadoop MapReduce to solve big data problems... Experience as a hands on programmer , strong in data structures and programming practices Academic Background: BSc in Computer Science or a related field Java... Hadoop MapReduce. (or other parallel programming...

Desirable skills / experience: - Big Data - Analytics / Data Science - Data Mining - Business Intelligence / Data Warehousing - Hadoop / HDAnalytics / HDP / HBase / Pig - Forecasting / Modelling - Experience in consultancy; pre-sales, giving demonstrations, building proof-of-concepts etc If you have experience of some or all of the above then I would be very interested...

It would be an advantage to have hands-on experience with big data solution components: *The Hadoop stack, eg MapReduce, Sqoop, Pig, Hive, HBase, Flume. *Other Big Data technologies, eg HBase, MongoDB, Cassandra... *Statistical packages, eg SAS, SPSS, R... *Cloud computing infrastructure (eg Amazon Web Services EC2, Elastic MapReduce) and...