Data Engineer
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Overview At ING we are looking for Data Engineer.We are looking for a talented and enthusiastic Data Engineer to join our DataLake Team of Data Management.The Data Management Tribe is focused on being Data Best-in-class, by ensuring the right data is in the right place at the right time for the right people to ignite the Data Spark.We are currently looking for a Data Engineer that would be part of an international project, collaborative between different countries, developing in a Cloud & DevOps environment.You would be focused on maintaining and evolving our informational platforms, which aims to be used for Data Management, as well as Regulatory & Analytical Reporting at ING. We work in an Agile & DevOps environment, where Scrum & Kanban are part of our One Agile Way of Working.You would be part of a Scrum Team, working on two-weeks sprints and using Azure as a key-tool for our Software Development Life Cycle and keeping our IT Risk under control.Responsibilities Ensure best practices within technical design, development of ETL processes and modelling informational solutions.Monitor end-to-end processes, ensuring their operation, detection of technical issues and search for solutions based on Data.Care of platforms sustainability, within Minimum Standards from IT and Risk perspective.Guarantee that ETL delivered and promoted through Azure pipelines and modelling informational solutions are aligned with our best practices.Analyze business needs for implementation and propose IT solutions.Collaborate with different areas contributing to Spain ING Data Strategy.Qualifications / What we are looking for Experience within Data Lake and Big Data environments.Technical knowledge in Databases (SQL and NoSQL), ETL Processes & BI Reporting.Good analytical skills with domain experience in data warehousing, data lakes, and data virtualization within
Requirements
Qualifications / What we are looking for Experience within Data Lake and Big Data environments. Technical knowledge in Databases (SQL and NoSQL), ETL Processes & BI Reporting. Good analytical skills with domain experience in data warehousing, data lakes, and data virtualization within
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