Archiviertes Projekt - Azure Data Engineer (m/w/d) Databricks

Für unseren Kunden suchen wir ab Ende Mai einen Azure Data Engineer (m/w/d) Databricks

Die Aufgaben umfassen:

  - Data Architecture Development: Design and construct a scalable, efficient, and secure data architecture using Azure and Databricks to facilitate advanced data management and analytics.
     - Data Pipeline Engineering: Develop and maintain reliable data pipelines to enable data harmonization, optimization, and reusability, supporting cross-organizational efficiency and innovation.
     - Team Collaboration and Agile Implementation: Collaborate within a skilled data team to incorporate modern data technologies and methodologies. Drive the integration of agile practices into the development and deployment of data solutions for swift and high-quality outcomes.
     - Expertise Sharing and Support: Provide expert knowledge on data architecture and engineering, guide organizational data strategies, and promote a culture of data-driven decision-making and continuous learning.

Skills:
     - Azure and Databricks Proficiency: Hands-on experience in using the Azure tool stack and Databricks for data processing and analytics.
     - Data Management Best Practices: Deep knowledge in data harmonization, storage, distribution, quality, integration, and security principles.
     - Data Engineering Experience: Proven track record in architecting, developing, and managing data solutions with emphasis on robust data pipeline creation.
     - Analytical and Problem-Solving Skills: Strong ability to analyze complex issues and proactive problem-solving with a data-driven approach.
     - Data Technologies Knowledge: Familiarity with database technologies, data warehousing, and data modeling, along with practical experience in relational databases and data analysis

Projektdauer: Ende 2024
Ich freue mich auf Ihr Interesse!