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3 days ago
We are seeking a highly skilled Data Analytics Professional to collaborate with our customers and partners to derive business value from the latest data analytics services.
The successful candidate will design, develop and deliver proof-of-concept projects, technical workshops and support complex projects. These professional services engagements will focus on customer solutions such as batch, real-time data capture and analysis, driving data-driven decisions and desired customer outcomes.
A strong understanding of cloud computing and data analytics technologies is essential, including AWS Glue, Amazon S3, Amazon DynamoDB, Amazon Relational Database Service (RDS), Amazon Elastic Map Reduce (EMR), Amazon Kinesis, Amazon Redshift, Amazon Athena, AWS Lake Formation, Amazon DataZone, Amazon SageMaker, Amazon Quicksight and Amazon Bedrock.
- Collaborate with pre-sales and delivery teams to help partners and customers learn and use AWS services.
- Support pre-sales and deliver technical engagements with partners and customers, including participating in pre-sales visits, understanding customer requirements, creating consulting proposals and creating packaged data analytics service offerings.
- Engagements include projects proving the use of AWS services to support new distributed computing solutions that often span private cloud and public cloud services, migration and modernisation of existing data applications and development of new data applications using AWS cloud services.
- Work with AWS engineering and support teams to convey partner and customer needs and feedback as input to technology roadmaps, share real-world implementation challenges and recommend new capabilities that would simplify adoption and drive greater value from use of AWS cloud services.
Design and deliver technical workshops, proof-of-concept projects and support complex projects to derive business value from the latest data analytics services.
Collaborate with AWS engineering and support teams to convey partner and customer needs and feedback as input to technology roadmaps.
Share real-world implementation challenges and recommend new capabilities that would simplify adoption and drive greater value from use of AWS cloud services.
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