Data Modeler
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Job description
| Now Hiring: Senior Data Modeller / Data Integration Developer | B2B Contract | Spain, RemoteObtenga más información sobre este puesto leyendo los detalles a continuación y luego envÃe su solicitud para ser considerado.We are looking for a Senior Data Modeller / Data Integration Developer to design and implement data architecture, data models, integration solutions, and data quality processes across enterprise data platforms.Location: Spain RemoteEmployment Type: B2B ContractExperience: 5-10+ yearsWhat You’ll Bring:Strong experience in Data Architecture, Data Modelling & Data EngineeringExperience translating business requirements into data and engineering specificationsHands-on experience developing, coordinating and maintaining data modelsExperience with solution architecture, design and implementation of data-driven productsStrong experience in large-scale data migration and Big Data on-premise environmentsExperience integrating Data Science platforms such as DataikuStrong hands-on experience with Docker & KubernetesGood knowledge of distributed query engines such as Presto / TrinoExperience with Hadoop, Hive, HBase, Spark, Solr, Tez, KafkaExperience with orchestration tools such as Apache Airflow / NiFiStrong understanding of Data Quality standards, policies and processesExpert-level SQL skills across traditional DWH and distributed data environmentsPython automation and troubleshooting experience using Jupyter Notebooks / common IDEsExperience preparing data for reporting, analytics xqysrnh and visualization using Tableau, Power BI or PythonKnowledge of Agile methodologies - Scrum / SAFeBanking or Financial Services data experience is highly advantageousExcellent communication and stakeholder management skillsGerman language skills are beneficialLet’s Connect:DM me on LinkedIn to explore this opportunity.Send your CV to:Please feel free to share this opportunity with your network if you know someone who could be a good fit |
Requirements
Strong experience in Data Architecture, Data Modelling & Data Engineering Experience translating business requirements into data and engineering specifications Hands-on experience developing, coordinating and maintaining data models Experience with solution architecture, design and implementation of data-driven products Strong experience in large-scale data migration and Big Data on-premise environments Experience integrating Data Science platforms such as Dataiku Strong hands-on experience with Docker & Kubernetes Good knowledge of distributed query engines such as Presto / Trino Experience with Hadoop, Hive, HBase, Spark, Solr, Tez, Kafka Experience with orchestration tools such as Apache Airflow / NiFi Strong understanding of Data Quality standards, policies and processes Expert-level SQL skills across traditional DWH and distributed data environments Python automation and troubleshooting experience using Jupyter Notebooks / common IDEs Experience preparing data for reporting, analytics xqysrnh and visualization using Tableau, Power BI or Python Knowledge of Agile methodologies - Scrum / SAFe Banking or Financial Services data experience is highly advantageous Excellent communication and stakeholder management skills German language skills are beneficial Let’s Connect
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