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Data engineer - data platform architect (aws)

Bardi
IBM
Pubblicato il 1 febbraio
Descrizione

Descrizione dell’offerta di lavoroOverviewIn this role, you’ll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe.You’ll work with visionaries across multiple industries to modernize their data and cloud landscapes, accelerating adoption of hybrid cloud and AI‑ready architectures. Your ability to drive meaningful change for clients is supported by our ecosystem of strategic partners and our technology platforms across the IBM portfolio, including Software and Red Hat.Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you’ll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in measurable impact for a wide network of clients. Our culture of evolution and empathy centers on long‑term career growth and development opportunities in an environment that embraces your unique skills and experience.Your Role And ResponsibilitiesCollaborate with technical and business teams to design and implement scalable data platforms on AWSSupport the development of data architectures aligned with modern lakehouse patterns and hybrid SAP–AWS integrationContribute to the implementation of streaming, near‑real‑time, and batch ingestion pipelines to enable data‑driven use casesApply cloud best practices for security, IAM, governance, networking, and cost optimization across data workloadsAssist in the design and configuration of end‑to‑end data solutions leveraging AWS core and analytics servicesHelp document technical requirements and platform architectural decisions for clients and delivery teamsEducationBachelor's DegreeRequired Technical And Professional ExpertiseMinimum 4 years of experience working with AWS cloud services in data‑focused or architectural rolesKnowledge of data architecture concepts, with exposure to data lake or lakehouse patternsFamiliarity with core AWS services such as S3, IAM, Glue, Lambda, ECS / EKS, Athena, Redshift, DynamoDB, MSK / KinesisUnderstanding of cloud security, identity & access management, networking, and governance principlesExposure to data ingestion and processing patterns (batch, streaming, near‑real‑time)Foundational experience in infrastructure‑as‑code and automation (e.g., Terraform, CloudFormation, CDK)Interest in obtaining AWS certifications relevant to cloud architecture or data analyticsPreferred Technical And Professional ExperienceAgile mindset – willingness to learn, adapt to changing priorities, take initiative, and apply critical thinking.One Of The FollowingUnderstanding of data governance and metadata management conceptsExperience with SAP‑AWS data integration patternsFamiliarity with observability and cost optimization in cloud environmentsExposure to containerization and orchestration (ECS / EKS / Kubernetes)Availability to travel is required.
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