Cloud Data Engineer
barclays
Job Description
Basic/ Essential Qualifications:
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Experience on AWS Cloud technology for data processing
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Good understanding of AWS architecture and features as below
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Computer services like EC2, Lambda, Auto Scaling, VPC, EC2
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Storage and container services like ECS, S3, DynamoDB, RDS
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Management & Governance KMS, IAM, CloudFormation, CloudWatch, CloudTrail
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Analytics services as Glue, Athena, Crawler, Lake Formation, Redshift
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Solution delivery for data processing components in larger End to End projects
Desirable skillsets/ good to have:
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AWS Certified professional
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Experience on Data Processing on Databricks and unity catalog
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Ability to drive the projects technically with right first deliveries within schedule and budget
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Ability to collaborate across teams to deliver complex systems and components and manage stakeholder’s expectations well
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Understands different project methodologies, project lifecycles, major phases, dependencies and milestones within a project, and the required documentation needs.
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Experienced with planning, estimating, organising, and working on multiple projects.