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Data Architect, Data Lake, Cloud Computing Expert
hace 1 mes
This is a highly technical data architect position at Amazon Web Services (AWS), where you will collaborate with customers and partners on key engagements. As a data architect, you will develop, deliver, and implement data analytics projects that help our customers leverage their data to develop business insights.
Responsibilities- Delivery: Help customers define and implement data architectures, including Data Lake, Lake House, and Data Mesh. Engagements include short on-site projects proving the use of AWS Data services to support new distributed computing solutions.
- Solutions: Deliver on-site technical assessments with partners and customers, including participating in pre-sales visits, understanding customer requirements, and creating packaged Data & Analytics service offerings.
- Innovate: Engage with customer business and technology stakeholders to create a compelling vision of a data-driven enterprise in their environment. Create new artifacts that promote code reuse.
- Expertise: Collaborate with AWS field sales, pre-sales, training, and support teams to help partners and customers learn and use AWS services such as Athena, Glue, Lambda, S3, DynamoDB, Amazon EMR, and Amazon Redshift.
- Experience implementing AWS services in various distributed computing environments.
- 3+ years of experience in Data Lake/Hadoop platform implementation.
- 2+ years of hands-on experience in implementation and performance tuning Hadoop/Spark implementations.
- Experience with 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.