Data Engineer

Markteinblicke

Stack

Details

Kostenlos, nach der Anmeldung.

Bewerben

Laden Sie Ihren Lebenslauf hoch — Arbeitgeber und Recruiter aus verschiedenen Ländern, die Ihr Profil suchen, können Sie direkt kontaktieren.

Beschreibung

RoleOverview Weare looking for a hands-on Data Engineer to design, build, and optimizescalable data pipelines on the Databricks Lakehouse platform. The role involvescollaborating with analysts, data scientists, and business teams to deliverreliable, analytics-ready data assets. KeyResponsibilities Build and maintain batch and streaming data pipelines using PySpark and Databricks . Implement medallion architecture (Bronze, Silver, and Gold layers). Optimize Spark jobs for performance and cost efficiency. Ensure data quality, lineage, and governance using Unity Catalog and automated validation. Integrate data from APIs, databases, files, and event streams. Implement CI/CD, version control, and workflow orchestration. Monitor, troubleshoot, and document data pipelines and data models. Collaborate with stakeholders to translate business requirements into technical solutions. RequiredQualifications 3–5 years of hands-on data engineering experience. Strong PySpark skills, including DataFrames, Spark SQL, UDFs, and performance tuning . Proven experience building production pipelines on Databricks. Working knowledge of Delta Lake, including ACID transactions, time travel, merge/upsert, and schema evolution . Advanced SQL and strong Python programming skills . Experience with Azure, AWS, or GCP cloud platforms . Understanding of data modelling, Lakehouse architecture, and ETL/ELT patterns. Familiarity with Git and CI/CD practices. PreferredQualifications Databricks Data Engineer Assoc

Vollständige Beschreibung, Unternehmen und Bewerbungslink — nach der Anmeldung. Anmelden

Kontaktdaten des Arbeitgebers (E-Mail/Telefon/Telegram) sind in der öffentlichen Vorschau ausgeblendet. Senden Sie Ihren Lebenslauf — dann können Arbeitgeber Sie direkt kontaktieren.