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Senior Data Lab Solutions Architect Jobs in Dubai | Amazon Careers
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Hiring Organization | Amazon |
Job Location | Dubai, United Arab Emirates |
Date Posted | Sep/10/2022 |
Base Salary | AED |
Employment Type | Full Time |
Valid Until | N/A |
Senior Data Lab Solutions Architect Jobs in Dubai | Amazon Careers
List Of Vacant Positions (Newly Updated)
JOB TITLE | LOCATION |
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Senior Data Lab Solutions Architect | Dubai, United Arab Emirates |
Description:
You will focus on real time and batch-based data processing, business intelligence, analytics, and machine learning systems. These solutions are built alongside the customer and quickly put into production use in a matter of weeks. You’ll work closely with AWS Field Teams including Solution Architects, Technical Account Managers, and AWS Service Developers to partner with customers to solve hard problems with data. Every day, you’ll be working with AWS Services and Data Labs Customers to determine the optimal implementation, build it, prove it works, extract documents and CloudFormation templates to speed project delivery.
Job Requirements:
- Highly technical and analytical, possessing seven or more years of Database and/or Analytics Systems development and deployment experience, IT systems and engineering experience, security and compliance experience, etc.
- Possess significant experience of software development and/or IT and implementation/consulting experience.
- Strong verbal and written communications skills are a must, as well as the ability to work effectively across internal and external organizations and virtual teams.
- Ability to think understand complex business requirements and render them as prototype systems with quick turnaround time.
- Implementation and tuning experience in the Big Data Ecosystem, (such as EMR, Hadoop, Spark, R, Presto, Hive), Database (such as Oracle, MySQL, PostgreSQL, MS SQL Server), NoSQL (such as DynamoDB, HBase, MongoDB, Cassandra, design principles) and Data Warehousing (such as Redshift, Teradata, Vertica, schema design, query tuning and optimization) and data migration and integration.