Senior Data Engineer - Global Business Solutions
November 10
Description
• Work closely with clients and other stakeholders to clarify the tech requirements and expectations • Implement architectures based on Azure Cloud platforms (Data Factory, Databricks, etc.) • Design, develop, optimize, and maintain squad-specific data architecture and pipelines that adhere to defined ETL and Data Lake principles • Discover, understand, and organize disparate data sources and structure them into clean data models with clear and understandable schemas • Contribute to the evaluation of new tools for analytical data engineering • Participate in evaluating and preparing proposals for new opportunities • Suggest and contribute to training and improvement plans regarding analytical data engineering skills, standards, and processes
Requirements
• At least 5 years of experience in data engineering and with cloud computing services solutions in the area of data and analytics, Azure is preferred one. • Conceptual knowledge of data analytic fundamentals, e.g., dimensional modeling, ETL, reporting tools, data governance, data warehousing, and structured and unstructured data • Knowledge of SQL and experience with at least one programming language (Python) • Excellent communication skills and business fluency in English • Understanding Big Data DB like Snowflake, BigQuery, etc • Experience in database development and data modeling, ideally with Databricks/Spark • Experience in the pre sales activities • Excellent interpersonal skills • Strong problem-solving and decision-making abilities, with a focus on driving results and meeting deadlines • Strong passion for learning/practicing new techniques. • Would be a plus: A subject matter expert in a specific domain: Logistics, Aviation, or Sustainability • Experience with Infra as code (Terraform or similar) • Good communication skills in German
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