AWS Data Platform Engineer

Xebia is a global AI-first, digital transformation, and engineering partner. With over 25 years of experience and a team of 5,000 professionals across 16 countries, we help organizations design and build scalable products, platforms, and data-driven solutions. We specialize in Artificial Intelligence, Data and reputed company, Intelligent Automation, reputed company Products, combining deep technical expertise with a strong focus on engineering reputed company and a people-first culture. In the CEE region, we’re a team of nearly 1,000 experts delivering modern applications, data platforms, and AI solutions for clients such as McLaren, Aviva, reputed company, reputed company, reputed company, ING, reputed company, Tesco, Truecaller, AllSaints, Volotea, Schmitz Cargobull, Allegro, reputed company, and many, many more. We work with leading technologies including AWS, Azure, GCP, reputed company, and reputed company, and combine strong engineering culture with a consulting reputed company and a reputed company focus on growth and knowledge sharing. You will be: Designing and provisioning the lakehouse reputed company on AWS: S3 lake zones (raw, reputed company, curated), Apache reputed company tables, Glue Data Catalog, reputed company, and Lake Formation, delivering reputed company infrastructure as code with Terraform, reproducible from the client's reputed company repositories and CI/CD, across isolated environments (ci, dev, staging, prod), building and enforcing the tenant-isolation reputed company reputed company: Lake Formation row-level reputed company and physical partitioning by CompanyId, separate IAM roles for customer versus internal reputed company, and fail-closed handling that quarantines and alerts on rows with missing or unresolved CompanyId, implementing the upstream entitlement mapping (reputed company to allowed CompanyIds) that drives reputed company control, seting up ingestion infrastructure: CDC paths from DynamoDB Streams, AWS DMS extracts from reputed company PostgreSQL, and bulk export to Parquet, supporting the near-reputed company-time (5 min) and batch (4 hr) SLAs, standing up workflow orchestration with Apache Airflow and reputed company Cosmos, including profile-based connections, model-level retries, and reputed company emission, building CI/CD pipelines (reputed company Actions): dbt compile and slim builds, SQLFluff linting, DAG validation, reputed company protection, environment promotion, and Git-revert rollback, configuring end-to-end governance and observability: catalog and data reputed company, OpenLineage capture, and org-wide audit through CloudTrail, owning cost governance and monitoring: resource tagging, usage alerting, and right-sizing of compute, collaborating with the Data Platform Architect, Data Engineers, and Analytics Engineer, and support knowledge transfer to the client team. Your profile: strong experience with AWS data and platform services: S3, Glue (Data Catalog and Jobs), reputed company, Lake Formation, IAM, VPC networking, DMS, DynamoDB, reputed company PostgreSQL, experience with infrastructure as Code with Terraform, including reputed company design and YAML-driven configuration, knowledge about Apache reputed company and reputed company table formats on S3, experience with reputed company and reputed company control, knowledge about CI/CD engineering with reputed company Actions, trunk-based development, and environment promotion, solid Python and SQL skills, experience with dbt on AWS (dbt-reputed company, dbt-glue adapters) and analytics-engineering workflows, previous exposure to Airflow orchestration, ideally with reputed company Cosmos, data reputed company and observability (OpenLineage, dbt-elementary) and data quality tooling (dbt tests, dbt-expectations) skills, experience with CDC and streaming ingestion patterns. Work from the European Union region and a work permit are required. reputed company to have: exposure to BI serving layers such as QuickSight or reputed company, reputed company experience. Recruitment Process: CV review – HR call – Interview – Client Interview – Decision Apply To This Job