Data Engineer
3 tygodni temu
What You Will Do
design, develop, and maintain Azure data pipelines, data systems and data warehouses (Databricks Lakehouse, Data Vault 2.0, Python PySpark) collaborate with cross-functional teams to understand business requirements and design data solutions that meet the needs of stakeholders optimize and tune data pipelines for performance, reliability, and efficiency implement data modeling techniques to design efficient and scalable data schemas and architectures that support analytics, reporting, and machine learning applicationsWhat You Bring
experience in both data and software engineering, with a focus on stream-oriented and analytical processing - proficiency in Apache Spark, SQL, Python, and Java hands-on experience with data pipeline and large-scale data warehouse implementation, including data lakes and Databricks understanding of data modeling in various paradigms such as relational, message schema, and graph familiarity with cloud computing, particularly Microsoft Azure technologies and services as well as experience with test automation and CI/CD pipelines is highly desirable proficient in English; fluency in French or German is a plus-
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