pul /brliDesign, build and maintain scalable data pipelines and backend services /li /brliSupport real-time decisioning, analytics, reporting and data collection /li /brliTranslate business/data requirements into appropriate data models and technical solutions /li /brliManage data transformation, integration and processing /li /brliDevelop high-quality, secure and well-tested code /li /brliBuild solutions that improve data governance, security and quality /li /brliImplement processes and controls around Data Security and Data Quality /li /brliCollaborate with developers and stakeholders while providing technical guidance /li /br /ul /brh3Job Description /h3 /brul /brliDesign, build and maintain scalable data pipelines and backend services /li /brliSupport real-time decisioning, analytics, reporting and data collection /li /brliTranslate business/data requirements into appropriate data models and technical solutions /li /brliManage data transformation, integration and processing /li /brliDevelop high-quality, secure and well-tested code /li /brliBuild solutions that improve data governance, security and quality /li /brliImplement processes and controls around Data Security and Data Quality /li /brliCollaborate with developers and stakeholders while providing technical guidance /li /br /ul /brh3Requirements /h3 /brul /brli5+ years’ Data Engineering experience, particularly ETL/ELT, Data Warehousing and BI /li /brli5+ years building end-to-end data systems/pipelines using Python and/or Scala /li /brliStrong SQL skills, including data analysis, troubleshooting and root-cause analysis /li /brliHands-on experience with Databricks, PySpark, Spark Streaming and Delta Lake /li /brliExperience with large-scale datasets and complex data transformations /li /brliStrong experience with cloud-based data platforms, ideally Microsoft Azure /li /brliExperience with Azure Data Lake / Blob Storage or comparable cloud storage /li /brliGood understanding of data modelling and data architecture principles /li /brliExperience working within CI/CD environments /li /brliExposure to event-driven architectures such as Kafka, Event Hubs or Apache Flink /li /brliExperience with Docker / Kubernetes / Helm and containerised environments /li /brliKnowledge of dbt and BI/reporting tools /li /brliStrong communication skills with the ability to provide technical guidance/leadership /li /br /ul /p #J-18808-Ljbffr
Senior Data Engineer – Data Analytics Platform Arbeitgeber: Swisslinx
Swisslinx bietet eine dynamische und innovative Arbeitsumgebung in Zürich, die es Ihnen ermöglicht, an spannenden Projekten im Bereich der strukturierten Produkte zu arbeiten. Unsere Unternehmenskultur fördert Teamarbeit und kontinuierliches Lernen, während wir Ihnen zahlreiche Möglichkeiten zur beruflichen Weiterentwicklung bieten. Genießen Sie die Vorteile eines agilen Arbeitsumfelds, das Kreativität und Eigenverantwortung schätzt und gleichzeitig eine ausgewogene Work-Life-Balance unterstützt.
