The business made waves in 2017 when they secured $2m venture backing out of North America for their AI platform that can deliver industry leading automated consumer behavior predictions for companies using their raw unstructured data.
They are currently recruiting engineers to help fill the massive demand for their product and to help their results become even better (scarier).
You will be required to work with a team of extraordinary engineers, to deliver businesses automated consumer behavior prediction platform to companies. The business results are multiples better than traditional statistical or ML methods. They are automating and commoditizing cutting edge AI results directly from a client data lake and your job will be to help their platform handle data at the massive scale needed. The data sizes can reach PetaByte ranges, and they still expect it to process rapidly.
- 3 years’ experience with Hadoop v2 and MapReduce
- Proficiency with the management of our Hadoop cluster and accompanying services including Hive, Spark, Kafka, Scoop and Oozie
- Proficiency with Presto
- 3 years’ experience in NoSql databases. Cassandra preferred
- Experience with building stream-processing systems, using solutions such as Storm or Spark-Streaming
- Experience with integration of data from multiple data sources
- Knowledge of various ETL techniques
- 3 years’ experience in creating Lambda Architecture, along with knowledge of its advantages and drawbacks
- Experience with Cloudera/MapR/Hortonworks
- Selecting and integrating any Big Data tools and frameworks required to provide requested capabilities
- Implementing ETL process
- Part of ETL is analysing and understanding business client data well enough to integrate in to our API
- Propose, design and implement Big Data Architecture including infrastructure
- Monitoring performance and advising any necessary infrastructure changes
- Defining data retention policies
Reference Number for this position is GZ42995 which is a permanent position based in Hyde Park offering a cost to company salary of R800K pa negotiable on experience and ability. Contact Garth on firstname.lastname@example.org or call him on 011 463 3633 to discuss this and other opportunities.
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