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Senior Data Architect, Data Warehouse & MPPTalentUp Africa

LagosNigeria
9 months0 Applicants
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job description - Senior Data Architect, Data Warehouse & MPP

  • In this role, you’ll work with innovative builders who are pushing the boundaries of cloud technology.
  • You’ll get to be bold, think big, and make an impact on your career. You’ll be encouraged to bring your experiences, talents, and passions to work.
  • You will help customers learn and use AWS services such as Redshift, Database Migration Service, Glue, S3, and Schema Conversion Tool
  • You will deliver on-site technical engagements with customers. This includes participating in pre-sales on-site visits, understanding customer requirements, contributing to internal Area of Depth (AoD) programs, authoring AWS Data Analytics best practice blogs/whitepaper and creating packaged data service offerings. 
  • You will work on short on-site projects to assess and optimize the customer’s Amazon Redshift implementations and helping customers to migrate from their existing on-premises data warehouses using other databases to Amazon Redshift.
  • You will work with the customer’s business and technology stakeholders to create a compelling vision of a data-driven enterprise in their environment.

Key Requirements 

  • Bachelor's Degree in Computer Science, Engineering, Mathematics or a related field or equivalent professional or military experience
  • AWS Solutions Architect Associate or Professional and the AWS Data Analytics or Machine Learning Speciality Certification"
  • 8+ years of experience of IT platform implementation in a technical role
  • 8+ years of development and/or DBA experience in Relational Database Management Systems (RDBMS)
  • 5+ years of hands-on experience in implementation and performance tuning MPP databases (Teradata, Vertica, Netezza, Greenplum)
  • Experience with prioritization of projects that mitigate trade-offs
  • Experience in analyzing Data Warehouses such as Teradata, Netezza, Oracle, etc. or Greenplum etc.
  • Experience designing database environments, analyzing production deployments, and making recommendations to optimize performance.
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