06 ott - Milano
Deel
ph3Overview /h3 pBuild and operate Klarna's analytical data processing platforms on AWS, supporting large-scale batch and analytical workloads.
/p pDesign robust data pipelines, table structures, and access patterns enabling efficient analytics, model training, and downstream consumption.
/p pContinuously evolve platform architecture, infrastructure, and AWS account foundations to support long-term scale, cost efficiency, security, and reliability.
/p pLead the design and implementation of core data processing systems using technologies such as AWS Glue, Spark, S3, Iceberg, Databricks, and Redshift.
/p pSet a high bar for code quality, maintainability, and operational excellence, acting as a role model for best practices in the domain.
/p pDrive architectural decisions with a holistic view of Klarna's data landscape, downstream consumers, and cross-team dependencies.
/p pDesign and evolve IAM models, roles, and access patterns to enable secure and scalable use of data platforms across teams and accounts.
/p pIdentify and solve complex problems related to performance, scalability, cost,
security, and compliance.
/p pAct as a technical leader in cross-team initiatives, facilitating discussions, aligning stakeholders, and delivering production-ready solutions.
/p h3Qualifications /h3 pStrong experience building analytical data platforms on AWS, including Spark-based processing and S3-backed data lakes.
/p pSolid hands-on skills with Python, distributed data processing, and infrastructure-as-code (Terraform).
/p pExperience working with modern table formats (e.g. Iceberg) and data warehouses (e.g. Redshift).
/p pExperience designing and operating IAM and AWS account setups for data platforms, balancing security with developer usability.
/p pA product-oriented mindset, focused on building durable, scalable solutions rather than one-off pipelines.
/p pExperience operating systems in production and improving them through monitoring, incident learnings, and iteration.
/p /p #J-*****-Ljbffr
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