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Porto, Portugal Reach IT Tempo inteiro

Reach IT – Nearshore Data Engineering OpportunityOur nearshore expertise sets us apart. We specialize in scalable, on-demand tech talent and operational excellence, helping global partners turn data into business value.We are expanding our engineering team with a highly technical and high-impact role: We are looking for a Data Engineer (AWS) – Hybrid Portoto design, build, and operate reliable, maintainable, and scalable data solutions within a large-scale cloud transformation program.If you are passionate about cloud data engineering, data pipelines, and modern data architectures — this challenge is for youYour Responsibilities: Advise on data strategy, architecture, and implementation approaches in a cloud-based environment; Design and develop end-to-end data pipelines on public cloud platforms, primarily AWS (Azure/GCP when relevant); Implement and optimize Lakehouse architectures, with a strong focus on Apache Iceberg (Hudi and Delta Lake as a plus); Build, automate, and maintain ETL processes, data workflows, and pipeline orchestration using Airflow, Step Functions, and AWS Workflow; Ensure high standards of reliability, automation, maintainability, and security across all delivered data solutions; Support incident resolution, root cause analysis, and preventive actions when required; Share knowledge and best practices with internal teams to strengthen technical capabilities; Work closely with delivery managers, architects, project managers, developers, and business analysts in a collaborative setup; Participate in relevant ceremonies, reviews, and knowledge-sharing sessions.Skills & Experience: 3–5 years of experience building data pipelines on public cloud platforms, preferably AWS (Azure/GCP also considered); 1+ year of experience in data solution architecture, design, development, and support; Database architecture, ETL, BI, Big Data, ML, and Advanced Analytics; Spark ecosystems (Hadoop is a plus); Pipeline orchestration (Airflow, Step Functions, AWS Workflow); Lakehouse architectures (Iceberg) and data optimization techniques (e.g., compaction, Z-Order); Software development and data transformation using Python, SQL, SQL Server, SSIS packages, Docker, CI/CD, and automation; AWS services: Lambda, Glue, Crawlers, Step Functions, DynamoDB, AWS Batch; DevOps and Agile principles, infrastructure as code (CloudFormation, Terraform), and artifact/vulnerability management; Awareness of cloud foundation services (networking, security, storage, IAM); Strong communication and collaboration skills in multicultural environments; Fluent in English (written and spoken); French is a plus.Nice to Have: Container-based applications (Docker); Linux-based infrastructure; Cloud-native architectures.#DataEngineer #AWSEngineer #CloudData #DataPipelines #ETL #Lakehouse #Iceberg #Spark #PythonJobs #SQL #DevOps #Terraform #CloudFormation #ReachIT #Hiring #Porto #HybridWork