Data Engineer – Data Management Tribe
Responsibilities:
As a Data Engineer, your main goals would be:
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Ensure best practices within technical design, development of ETL processes and modelling informational solutions.
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Monitor end-to-end processes, ensuring their operation, detection of technical issues and search for solutions based on Data.
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Care of platforms sustainability, within Minimum Standards from IT and Risk perspective.
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Guarantee that ETL delivered and promoted through Azure pipelines and modelling informational solutions are aligned with our best practices.
What are we looking for?
A person who works and acts rapidly based on intuition, instead of reasoning step-by-step; Knows the difference between important and less important details.
A person flexible and adaptable, capable of facing uncertainty, acquiring knowledge in various disciplines and updating it as often as necessary.
An assertive person, able to communicate clearly and directly, but adequately.
The Data Engineer we are currently looking for is someone who:
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Has more than 4 years’ experience within ETL IBM DataStage tool.
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Has technical knowledge in Databases, ETL Processes & BI Reporting.
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Is an expert in Unix scripting, PL/SQL and Data Modelling for Informational platforms.
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Has knowledge & experience in Azure, and other cloud environments.
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Has good analytical skills, with proven domain experience in data warehousing within Bank and Finance Industry.
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Has working experience in Agile environments.
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Has clear communications skills as well as a high English level (written and oral).
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Is able to work without instructions and to take initiative.
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Makes things happen thanks to his/her ‘can do’ attitude.
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Has a problem solving mindset.
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Is a team player (daily connection with other departments is expected)
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Has the ability to work on an international level.
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Takes the initiative for improving processes, ensuring creative ideas are implemented.
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Is a leader of our Orange Code culture, displaying a positive attitude, commitment towards our goals, accountable, eager to learn and is not afraid of change.
Considering the software you may use as a Data Software Engineer, specific experience would be desirable for the following:
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Oracle (19c).
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IBM Infosphere Information Server Suite or similar Data Processing tools
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IBM Cognos, Power BI and/or MicroStrategy or similar BI tools
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Azure Devops or other devops cloud service
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Security, monitoring and logging skills (e.g. ELK, Prometheus, Grafana)
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Python
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Elastic Cloud Storage (ECS)
Top Skills
What We Do
ING is a pioneer in digital banking and on the forefront as one of the most innovative banks in the world. As ING, we have a clear purpose that represents our conviction of people’s potential. We don’t judge, coach, or tell people how to live their lives. However big or small, modest or grand, we empower people and businesses to realise their vision for a better future. We made the promise to make banking frictionless, removing barriers to progress, and make people confident in their financial decisions. As a global bank we have a huge opportunity – and responsibility – to make an impact for the better. We can play a role by financing change, sharing knowledge, and innovating. Being sustainable is in all the choices we make—as a lender, as a partner and through the services we offer our customers
