Azure Data Engineer
Within the data science technical delivery team, the data engineer delivers data science and analytics solutions, as well as components of the Enterprise Data Analytics platform (big data on Microsoft Azure Analytics or Cloudera). This is a data centric role, contributing to transforming data into business insights while building reusable data components across the enterprise
‒Experience in software engineering, Agile and DevOps methodologies and tools (Jira, Jenkins, VSTS/ADO).
‒Experience with programming languages / scripting tools (Java, Python, R, C, Spark).
‒Experience with information security management.
‒Experience in Analytics/Data Platforms and Data Products solution architecture (Hadoop, Azure Analytics).
‒Experience in Data Extract, Load and transformation technics and tools (Hadoop ecosystem, Azure Data Factory, Databricks).
‒Understanding of relational and dimensional data models.
‒Experience with analytics solutions (Azure Analytics Paas/Saas).
‒Experience in Data Visualization (Spotfire, PowerBI).
‒Work productively in uncertain and fast changing environments. Finds opportunities in ambiguity; Embraces and adapts to change; adept of learning by doing.
‒Knowledge of techniques and tools that promote effective analysis, determine the root cause of problems and create alternative solutions to solve them in the best interest of the business
Job Types: Full-time, Contract
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