The point where experts and best companies meet
Share
Responsibilities include:- Solutions - Deliver on-site technical assessments with partners and customers. This includes participating in pre-sales visits, understanding customer requirements, creating packaged Data & Analytics service offerings.
- Experience implementing AWS services in a variety of distributed computing environments
- 3+ years of experience of Data Lake/Hadoop platform implementation
- 2+ years of hands-on experience in implementation and performance tuning Hadoop/Spark implementations.
- Experience Apache Hadoop and the Hadoop ecosystem
- Experience with one or more relevant tools (Sqoop, Flume, Kafka, Oozie, Hue, Zookeeper, HCatalog, Solr, Avro)
- Hands on experience leading large-scale full-cycle MPP enterprise data warehousing (EDW) and analytics projects (including migrations to Amazon Redshift).
- At least one of the AWS Associate level certifications or higher.
- Ability to lead effectively across organizations and partners.
These jobs might be a good fit