workidentity GmbH
HR Tech • Recruitment • B2B
workidentity GmbH is a Hamburg-based consultancy specializing in HR services and recruitment, particularly within the Tech and IT sectors. They offer a range of services including personnel consulting, executive search, interim and freelance mandates, and recruiting-as-a-service. With a team of HR and recruiting experts, workidentity provides comprehensive support to both companies seeking qualified IT professionals and candidates looking for career development opportunities. Their personalized approach focuses on matching the best candidates with roles in various industries, with a strong emphasis on technology and digital environments. The company is known for its efficient recruitment processes and high level of candidate satisfaction.
Data Platform Engineer
Job not on LinkedIn
June 19
🗣️🇩🇪 German Required
workidentity GmbH
HR Tech • Recruitment • B2B
workidentity GmbH is a Hamburg-based consultancy specializing in HR services and recruitment, particularly within the Tech and IT sectors. They offer a range of services including personnel consulting, executive search, interim and freelance mandates, and recruiting-as-a-service. With a team of HR and recruiting experts, workidentity provides comprehensive support to both companies seeking qualified IT professionals and candidates looking for career development opportunities. Their personalized approach focuses on matching the best candidates with roles in various industries, with a strong emphasis on technology and digital environments. The company is known for its efficient recruitment processes and high level of candidate satisfaction.
📋 Description
• Du bist verantwortlich für den Aufbau und Betrieb von modernen onpremises Data Lakehouse Systemen bis in den Petabyte-Bereich. • Dein Hauptfokus liegt dabei auf Lakehouse Architekturen, die du auf Basis der beschriebenen Komponenten aufbaust und betreibst.
🎯 Requirements
• 5+ Jahre Erfahrung im Bereich Data Platform Engineering oder im Plattform Engineering • Umfassende Erfahrung im Deployment und dem Betrieb von Data Analytics Plattformen • Umfassende Erfahrung mit Kubernetes • Umfangreiche Erfahrung mit CI/CD Technologien • Erfahrung in Python • Eigenverantwortliches und selbständiges Arbeiten • Erfahrung mit Infrastructure as Code • nice-to-have: Erfahrung im Deployment und Betrieb von folgenden Technologien: Spark, S3 kompatibler Object Storage, relationale Datenbanken, Apache Nifi, Apache Spark, Apache Airflow, Kafka, Trino/Presto/Starburst und Hive • Verständnis von relevanten Security Praktiken • Reisebereitschaft
🏖️ Benefits
• 100% Remote Arbeitsplatz • Premium Work Equipment • Sehr gute Weiterbildungsmöglichkeiten • Events für Mitarbeiter • Mitarbeitervergünstigungen (EGYM Wellpass, JobRad uvm.)
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