10/24/2026 updated
PO
100 % available
Lead Analytics Engineer
Cascais, Portugal
Switzerland +3
info: Switzerland, Denmark, Finland, Portugal
LLMTesting (Software)Java (Programming Language)Acceptance TestingArtificial IntelligenceAmazon Web ServicesData AnalysisMicrosoft AzureBig DataComputer ProgrammingContinuous IntegrationInformation EngineeringExtract Transform Load (ETL)Data VisualizationElasticsearch
AWS lambda, UAT, AWS, Ansible, Hadoop, Hive, Kafka, Spark, AI, Bamboo, Big Data, Big Data Analytics, Cloudera, Programming, CI/CD, ANALYTICS, Data lake, data visualisation, Databricks, Docker, ElasticSearch, ETL, Git, Data Engineer, Java, Jenkins, KVM, Kubernetes, LaTeX, Logstash, Machine learning, Azure, MSSQL, servers, Oracle 11g, Postgres, Python, R, SQL, Scala, Scikit-learn, Serverless, shell scripting, Tableau, TERADATA, Software testing, Shell
Experience
Professional experience10+ years
Freelancer since2020
Languages
EnglishFluentPortugueseNative speaker
Project history
* Translate complex requirements from the business teams into detailed architecture, design, and high performing !
cloud-based analytics platform (AWS | Azure).!
* Data lake architecture and definition.!
* Technical design guidance for ETL/ELT workloads.!
* CI/CD framework design.!
* Control, review and validate technical deliverables.!
* Write and review all documentation generated in the project scope.!
cloud-based analytics platform (AWS | Azure).!
* Data lake architecture and definition.!
* Technical design guidance for ETL/ELT workloads.!
* CI/CD framework design.!
* Control, review and validate technical deliverables.!
* Write and review all documentation generated in the project scope.!
* Helping Big Data Analytics teams develop new solutions based on Cloudera Hadoop cluster in AWS (Hive, Spark, R, Kafka,
ElasticSearch).!
* Development of custom plugins/tools for Hadoop.!
* Development of Ansible script to deploy and manage AWS Hadoop cluster.!
* Development of Serverless framework using FN, Serverless, AWS lambda, Docker and Kubernetes.!
* Development of containerised Machine learning models to be deployed into Kubernetes cluster.!
* Design and development of a log management platform based on Logstash and Elasticsearch with NLP capabilities.!
ElasticSearch).!
* Development of custom plugins/tools for Hadoop.!
* Development of Ansible script to deploy and manage AWS Hadoop cluster.!
* Development of Serverless framework using FN, Serverless, AWS lambda, Docker and Kubernetes.!
* Development of containerised Machine learning models to be deployed into Kubernetes cluster.!
* Design and development of a log management platform based on Logstash and Elasticsearch with NLP capabilities.!